--------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/JTAFOYA1/My Drive/Research/Englishness_Americanness/P_UK13029248_BBC.log
  log type:  text
 opened on:   2 Jun 2023, 15:36:40

. 
. *Replication Files for "Divid Images: How the English Percieve Nationhood and How This Shapes Voting and Opinion"
. *Eric Kaufmann, Birkbeck College, University of London, UK 
. *David L. Leal, University of Texas at Austin, USA 
. *Joe R. Tafoya, DePaul University, Chicago, USA 
. 
. 
. *Author of this code: Joe R. Tafoya, PhD (j.tafoya@depaul.edu)
. 
. *Platform: STATA
. 
. 
. set more off

. 
end of do-file

. do "/var/folders/gb/wjczt4kn3sd6vy4y14s1c74c0000gp/T//SD32101.000000"

. **Load Englishness survey
. 
end of do-file

. use "/Users/JTAFOYA1/My Drive/Research/Englishness_Americanness/Graph and Program Files/P_UK13029248_BBC.dta"

. do "/var/folders/gb/wjczt4kn3sd6vy4y14s1c74c0000gp/T//SD32101.000000
> "

. *Natiional Frames: Types and Scale Constructions
. {
. *How strongly, if at all, do the following contribute to your Englis
> h identity?
. tab bbc6a // Countryside

      bbc6a |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      8,099       40.33       40.33
          2 |      7,801       38.85       79.18
          3 |      2,216       11.04       90.21
          4 |      1,167        5.81       96.03
          5 |        798        3.97      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6b // Christian tradition

      bbc6b |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,532       12.61       12.61
          2 |      4,857       24.19       36.80
          3 |      5,603       27.90       64.70
          4 |      6,070       30.23       94.93
          5 |      1,019        5.07      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6c // Diverse cultural life

      bbc6c |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,763       13.76       13.76
          2 |      7,329       36.50       50.26
          3 |      5,833       29.05       79.30
          4 |      3,032       15.10       94.40
          5 |      1,124        5.60      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6d // History and heritage

      bbc6d |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      8,154       40.61       40.61
          2 |      7,421       36.96       77.56
          3 |      2,467       12.29       89.85
          4 |      1,189        5.92       95.77
          5 |        850        4.23      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6e // Sports and leisure activitie

      bbc6e |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,538       12.64       12.64
          2 |      7,120       35.46       48.10
          3 |      6,234       31.04       79.14
          4 |      3,201       15.94       95.08
          5 |        988        4.92      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6f // Poetry and literature and art

      bbc6f |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,761       18.73       18.73
          2 |      7,557       37.63       56.36
          3 |      5,376       26.77       83.13
          4 |      2,320       11.55       94.69
          5 |      1,067        5.31      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc6g // Dance and music

      bbc6g |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,153       10.72       10.72
          2 |      6,496       32.35       43.07
          3 |      7,349       36.60       79.67
          4 |      3,010       14.99       94.66
          5 |      1,073        5.34      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. 
. *How strongly, if at all, do you associate the following characteris
> tics with English identity?
. tab bbc7a // Sense of humor

      bbc7a |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      7,271       36.21       36.21
          2 |      9,058       45.11       81.32
          3 |      2,355       11.73       93.04
          4 |        500        2.49       95.53
          5 |        897        4.47      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7b // Sense of fair play

      bbc7b |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,273       26.26       26.26
          2 |      9,370       46.66       72.92
          3 |      3,221       16.04       88.96
          4 |        817        4.07       93.03
          5 |      1,400        6.97      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7c // Good manners

      bbc7c |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,437       27.08       27.08
          2 |      9,702       48.31       75.39
          3 |      3,352       16.69       92.08
          4 |        708        3.53       95.61
          5 |        882        4.39      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7d // Tolerance

      bbc7d |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,409       16.98       16.98
          2 |      9,553       47.57       64.55
          3 |      4,791       23.86       88.41
          4 |      1,094        5.45       93.85
          5 |      1,234        6.15      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7e // Welcoming

      bbc7e |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,286       16.36       16.36
          2 |      9,381       46.72       63.08
          3 |      5,309       26.44       89.52
          4 |      1,030        5.13       94.65
          5 |      1,075        5.35      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7f // Friendliness

      bbc7f |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,397       16.92       16.92
          2 |      9,777       48.69       65.60
          3 |      5,108       25.44       91.04
          4 |        835        4.16       95.20
          5 |        964        4.80      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7g // Generosity

      bbc7g |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,281       16.34       16.34
          2 |      9,158       45.61       61.94
          3 |      5,369       26.74       88.68
          4 |        998        4.97       93.65
          5 |      1,275        6.35      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7h // Stiff upper lip

      bbc7h |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      4,137       20.60       20.60
          2 |      8,762       43.63       64.23
          3 |      4,664       23.23       87.46
          4 |      1,135        5.65       93.11
          5 |      1,383        6.89      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7i // Outward looking

      bbc7i |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,727        8.60        8.60
          2 |      7,172       35.72       44.32
          3 |      7,089       35.30       79.62
          4 |      1,787        8.90       88.52
          5 |      2,306       11.48      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7j // Loud

      bbc7j |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,015        5.05        5.05
          2 |      4,001       19.92       24.98
          3 |      9,550       47.56       72.54
          4 |      4,169       20.76       93.30
          5 |      1,346        6.70      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7k // Liberal

      bbc7k |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,736        8.64        8.64
          2 |      8,147       40.57       49.22
          3 |      6,490       32.32       81.53
          4 |      1,335        6.65       88.18
          5 |      2,373       11.82      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7l // Traditional

      bbc7l |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,877       29.27       29.27
          2 |     10,087       50.23       79.50
          3 |      2,656       13.23       92.72
          4 |        513        2.55       95.28
          5 |        948        4.72      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7m // Yob culture

      bbc7m |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,969       14.79       14.79
          2 |      8,616       42.91       57.69
          3 |      5,710       28.43       86.13
          4 |      1,405        7.00       93.12
          5 |      1,381        6.88      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc7n // Plain-speaking

      bbc7n |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,738        8.65        8.65
          2 |      5,831       29.04       37.69
          3 |      7,672       38.21       75.90
          4 |      2,875       14.32       90.21
          5 |      1,965        9.79      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. 
. recode bbc6a bbc6b bbc6c bbc6d bbc6e bbc6f bbc6g bbc7a bbc7b bbc7c b
> bc7d ///
> bbc7e bbc7f bbc7g bbc7h bbc7i bbc7j bbc7k bbc7l bbc7m bbc7n (1=4) (2
> =3) ///
> (3=2) (4=1) (else=.), gen(country christian diverse history sports p
> oetry ///
> dance humor fair manners tolerance welcoming friendly generous stiff
>  outward ///
> loud liberal traditional yob plain)
(20,081 differences between bbc6a and country)
(20,081 differences between bbc6b and christian)
(20,081 differences between bbc6c and diverse)
(20,081 differences between bbc6d and history)
(20,081 differences between bbc6e and sports)
(20,081 differences between bbc6f and poetry)
(20,081 differences between bbc6g and dance)
(20,081 differences between bbc7a and humor)
(20,081 differences between bbc7b and fair)
(20,081 differences between bbc7c and manners)
(20,081 differences between bbc7d and tolerance)
(20,081 differences between bbc7e and welcoming)
(20,081 differences between bbc7f and friendly)
(20,081 differences between bbc7g and generous)
(20,081 differences between bbc7h and stiff)
(20,081 differences between bbc7i and outward)
(20,081 differences between bbc7j and loud)
(20,081 differences between bbc7k and liberal)
(20,081 differences between bbc7l and traditional)
(20,081 differences between bbc7m and yob)
(20,081 differences between bbc7n and plain)
. 
. *In general, which, if any, of the following do you think makes a pe
> rson "English"?
. tab bbc8a // Consider self to be English

      bbc8a |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      7,970       39.69       39.69
          2 |      9,687       48.24       87.93
          3 |      2,424       12.07      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8b // Being born in England

      bbc8b |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     16,011       79.73       79.73
          2 |      3,026       15.07       94.80
          3 |      1,044        5.20      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8c // Growing up in England

      bbc8c |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     13,469       67.07       67.07
          2 |      5,306       26.42       93.50
          3 |      1,306        6.50      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8d // Speaking English

      bbc8d |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      6,044       30.10       30.10
          2 |     12,779       63.64       93.74
          3 |      1,258        6.26      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8e // Speaking with an English accent

      bbc8e |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,076       25.28       25.28
          2 |     13,339       66.43       91.70
          3 |      1,666        8.30      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8f // Having one English parent

      bbc8f |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     10,506       52.32       52.32
          2 |      7,268       36.19       88.51
          3 |      2,307       11.49      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8g // Having two English parents

      bbc8g |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     15,711       78.24       78.24
          2 |      2,952       14.70       92.94
          3 |      1,418        7.06      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8h // Having lived in England for up to 5 years

      bbc8h |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      3,009       14.98       14.98
          2 |     14,478       72.10       87.08
          3 |      2,594       12.92      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8i // Having lived in England for 5 to 10 years

      bbc8i |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      4,356       21.69       21.69
          2 |     13,072       65.10       86.79
          3 |      2,653       13.21      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab bbc8j // Having lived in England for over 10 years

      bbc8j |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      7,111       35.41       35.41
          2 |     10,468       52.13       87.54
          3 |      2,502       12.46      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. 
. factor country christian diverse history sports poetry dance humor f
> air ///
> manners tolerance welcoming friendly generous stiff outward loud lib
> eral ///
> traditional yob plain
(obs=15,146)

Factor analysis/correlation                      Number of obs    =   
>   15,146
    Method: principal factors                    Retained factors =   
>        8
    Rotation: (unrotated)                        Number of params =   
>      140

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      6.46083      5.08412            0.7745       0
> .7745
        Factor2  |      1.37671      0.59684            0.1650       0
> .9396
        Factor3  |      0.77987      0.18620            0.0935       1
> .0331
        Factor4  |      0.59367      0.22912            0.0712       1
> .1042
        Factor5  |      0.36455      0.22372            0.0437       1
> .1479
        Factor6  |      0.14083      0.02408            0.0169       1
> .1648
        Factor7  |      0.11675      0.08449            0.0140       1
> .1788
        Factor8  |      0.03226      0.03609            0.0039       1
> .1827
        Factor9  |     -0.00384      0.03257           -0.0005       1
> .1822
       Factor10  |     -0.03641      0.04162           -0.0044       1
> .1779
       Factor11  |     -0.07803      0.00127           -0.0094       1
> .1685
       Factor12  |     -0.07930      0.01550           -0.0095       1
> .1590
       Factor13  |     -0.09479      0.01158           -0.0114       1
> .1476
       Factor14  |     -0.10637      0.01111           -0.0128       1
> .1349
       Factor15  |     -0.11748      0.01004           -0.0141       1
> .1208
       Factor16  |     -0.12753      0.00645           -0.0153       1
> .1055
       Factor17  |     -0.13397      0.01326           -0.0161       1
> .0895
       Factor18  |     -0.14723      0.00994           -0.0177       1
> .0718
       Factor19  |     -0.15717      0.04558           -0.0188       1
> .0530
       Factor20  |     -0.20275      0.03631           -0.0243       1
> .0287
       Factor21  |     -0.23906            .           -0.0287       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated: chi2(210) = 1.2e+05 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    ----------------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4   Factor5 
    -------------+--------------------------------------------------
         country |   0.5822    0.3688   -0.1531    0.1269   -0.0863 
       christian |   0.4751    0.2047   -0.0568    0.0834   -0.2129 
         diverse |   0.2340    0.3095    0.0911   -0.3130    0.1646 
         history |   0.6321    0.4064   -0.2076    0.1233   -0.0381 
          sports |   0.4923    0.2951    0.0211   -0.0892   -0.0831 
          poetry |   0.4690    0.5090   -0.1013   -0.1092    0.1017 
           dance |   0.4764    0.3987    0.0500   -0.1593   -0.0114 
           humor |   0.5919   -0.0846    0.0320    0.0410    0.1826 
            fair |   0.6983   -0.1759   -0.1028    0.1018    0.1813 
         manners |   0.6391   -0.2263   -0.1350    0.0946    0.1533 
       tolerance |   0.6717   -0.2300   -0.0250   -0.1378    0.1198 
       welcoming |   0.7282   -0.2569    0.0716   -0.1227   -0.1531 
        friendly |   0.7233   -0.2469    0.0572   -0.0723   -0.1797 
        generous |   0.7196   -0.1885    0.0670   -0.0539   -0.0883 
           stiff |   0.3816    0.0088    0.1113    0.3493    0.1563 
         outward |   0.6560   -0.1645    0.1183   -0.1225   -0.0846 
            loud |   0.0008    0.1608    0.5724    0.0322   -0.0426 
         liberal |   0.4977   -0.1041    0.1506   -0.2469    0.1872 
     traditional |   0.5811    0.0185    0.0352    0.3370    0.0371 
             yob |   0.5523   -0.1219    0.1832    0.1158   -0.1446 
           plain |  -0.1316    0.2211    0.4835    0.1518    0.0869 
    ----------------------------------------------------------------

    -----------------------------------------------------------
        Variable |  Factor6   Factor7   Factor8 |   Uniqueness 
    -------------+------------------------------+--------------
         country |  -0.0074   -0.1492   -0.0266 |      0.4550  
       christian |   0.1714    0.0862    0.0223 |      0.6395  
         diverse |  -0.0865    0.0073    0.0216 |      0.7081  
         history |   0.0281   -0.1235   -0.0249 |      0.3589  
          sports |  -0.0239    0.1348   -0.0220 |      0.6360  
          poetry |   0.0039    0.0044    0.0310 |      0.4875  
           dance |  -0.0637    0.1146    0.0114 |      0.5688  
           humor |  -0.1345   -0.0575   -0.0444 |      0.5831  
            fair |   0.0257    0.0187   -0.0373 |      0.4252  
         manners |  -0.0727    0.0718    0.0378 |      0.4778  
       tolerance |   0.1575   -0.0305    0.0024 |      0.4362  
       welcoming |  -0.0337   -0.0456    0.0719 |      0.3517  
        friendly |  -0.1245   -0.0603    0.0393 |      0.3544  
        generous |   0.0532   -0.0479    0.0386 |      0.4249  
           stiff |   0.0421    0.0865    0.0380 |      0.6848  
         outward |   0.0700    0.0585   -0.0733 |      0.4928  
            loud |  -0.0106   -0.0189   -0.0053 |      0.6432  
         liberal |   0.1111   -0.0412   -0.0208 |      0.6083  
     traditional |  -0.0343    0.0334    0.0289 |      0.5427  
             yob |  -0.0831    0.0458   -0.0824 |      0.5964  
           plain |   0.0543   -0.0805    0.0218 |      0.6595  
    -----------------------------------------------------------
. 
. factor country christian diverse history sports poetry dance stiff l
> oud ///
> traditional plain // Loud & Plain below to a seperate factor
(obs=16,545)

Factor analysis/correlation                      Number of obs    =   
>   16,545
    Method: principal factors                    Retained factors =   
>        5
    Rotation: (unrotated)                        Number of params =   
>       45

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      2.92557      2.26033            0.8775       0
> .8775
        Factor2  |      0.66524      0.15592            0.1995       1
> .0771
        Factor3  |      0.50932      0.39718            0.1528       1
> .2299
        Factor4  |      0.11214      0.05754            0.0336       1
> .2635
        Factor5  |      0.05460      0.08027            0.0164       1
> .2799
        Factor6  |     -0.02567      0.08826           -0.0077       1
> .2722
        Factor7  |     -0.11393      0.04073           -0.0342       1
> .2380
        Factor8  |     -0.15466      0.00659           -0.0464       1
> .1916
        Factor9  |     -0.16125      0.05862           -0.0484       1
> .1432
       Factor10  |     -0.21987      0.03778           -0.0660       1
> .0773
       Factor11  |     -0.25765            .           -0.0773       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated:  chi2(55) = 4.3e+04 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    ----------------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4   Factor5 
    -------------+--------------------------------------------------
         country |   0.7003   -0.1048    0.0602   -0.1659   -0.0273 
       christian |   0.5240   -0.0693    0.1125    0.0731   -0.1337 
         diverse |   0.3251    0.1775   -0.3327    0.0130    0.1053 
         history |   0.7724   -0.1371    0.0513   -0.1456   -0.0067 
          sports |   0.5648    0.0522   -0.0944    0.1444   -0.0634 
          poetry |   0.6640    0.0395   -0.2209   -0.0416    0.0561 
           dance |   0.5894    0.1291   -0.2122    0.1162   -0.0117 
           stiff |   0.3230    0.0916    0.3646    0.0827    0.0969 
            loud |   0.0308    0.5462    0.0560   -0.0209   -0.0526 
     traditional |   0.4950   -0.0166    0.3553    0.0716    0.0717 
           plain |  -0.0233    0.5207    0.1213   -0.0969   -0.0156 
    ----------------------------------------------------------------

    ----------------------------
        Variable |   Uniqueness 
    -------------+--------------
         country |      0.4666  
       christian |      0.6847  
         diverse |      0.7409  
         history |      0.3607  
          sports |      0.6444  
          poetry |      0.5038  
           dance |      0.5773  
           stiff |      0.7381  
            loud |      0.6944  
     traditional |      0.6182  
           plain |      0.7040  
    ----------------------------
. 
. factor humor fair manners tolerance welcoming friendly generous outw
> ard ///
> liberal yob
(obs=16,241)

Factor analysis/correlation                      Number of obs    =   
>   16,241
    Method: principal factors                    Retained factors =   
>        4
    Rotation: (unrotated)                        Number of params =   
>       34

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      4.59088      4.36526            1.0448       1
> .0448
        Factor2  |      0.22562      0.07437            0.0513       1
> .0961
        Factor3  |      0.15125      0.11462            0.0344       1
> .1306
        Factor4  |      0.03663      0.08099            0.0083       1
> .1389
        Factor5  |     -0.04436      0.01337           -0.0101       1
> .1288
        Factor6  |     -0.05773      0.05536           -0.0131       1
> .1157
        Factor7  |     -0.11309      0.00665           -0.0257       1
> .0899
        Factor8  |     -0.11974      0.01347           -0.0273       1
> .0627
        Factor9  |     -0.13321      0.00898           -0.0303       1
> .0324
       Factor10  |     -0.14220            .           -0.0324       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated:  chi2(45) = 7.0e+04 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    ------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4 
    -------------+----------------------------------------
           humor |   0.5930    0.1375   -0.1258    0.0364 
            fair |   0.7050    0.2169   -0.1022    0.0075 
         manners |   0.6544    0.1438   -0.1430   -0.0481 
       tolerance |   0.7141    0.1397    0.1622   -0.0345 
       welcoming |   0.7771   -0.1885    0.0328   -0.0713 
        friendly |   0.7669   -0.2027   -0.0715   -0.0452 
        generous |   0.7465   -0.0721    0.0337   -0.0352 
         outward |   0.6822   -0.0766    0.1001    0.0935 
         liberal |   0.5289    0.1096    0.2237    0.0319 
             yob |   0.5567   -0.1405   -0.1041    0.1166 
    ------------------------------------------------------

    ----------------------------
        Variable |   Uniqueness 
    -------------+--------------
           humor |      0.6123  
            fair |      0.4454  
         manners |      0.5283  
       tolerance |      0.4431  
       welcoming |      0.3545  
        friendly |      0.3637  
        generous |      0.4351  
         outward |      0.5100  
         liberal |      0.6572  
             yob |      0.6459  
    ----------------------------
. 
. factor country christian diverse history sports poetry dance stiff t
> raditional
(obs=17,411)

Factor analysis/correlation                      Number of obs    =   
>   17,411
    Method: principal factors                    Retained factors =   
>        4
    Rotation: (unrotated)                        Number of params =   
>       30

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      2.92279      2.42366            0.9992       0
> .9992
        Factor2  |      0.49913      0.34963            0.1706       1
> .1698
        Factor3  |      0.14950      0.09185            0.0511       1
> .2210
        Factor4  |      0.05765      0.08957            0.0197       1
> .2407
        Factor5  |     -0.03192      0.08477           -0.0109       1
> .2298
        Factor6  |     -0.11669      0.03808           -0.0399       1
> .1899
        Factor7  |     -0.15477      0.02438           -0.0529       1
> .1369
        Factor8  |     -0.17915      0.04228           -0.0612       1
> .0757
        Factor9  |     -0.22144            .           -0.0757       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated:  chi2(36) = 4.1e+04 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    ------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4 
    -------------+----------------------------------------
         country |   0.7030    0.0847   -0.1884    0.0281 
       christian |   0.5230    0.1271   -0.0092   -0.1500 
         diverse |   0.3271   -0.3588    0.0893    0.0973 
         history |   0.7745    0.0814   -0.1750    0.0345 
          sports |   0.5668   -0.1030    0.1094   -0.1044 
          poetry |   0.6681   -0.2219   -0.0115    0.0577 
           dance |   0.5881   -0.2315    0.1252   -0.0442 
           stiff |   0.3106    0.3248    0.1810    0.0697 
     traditional |   0.4882    0.3485    0.1216    0.0515 
    ------------------------------------------------------

    ----------------------------
        Variable |   Uniqueness 
    -------------+--------------
         country |      0.4624  
       christian |      0.6878  
         diverse |      0.7468  
         history |      0.3617  
          sports |      0.6452  
          poetry |      0.5009  
           dance |      0.5829  
           stiff |      0.7604  
     traditional |      0.6228  
    ----------------------------
. factor humor fair manners tolerance generous liberal
(obs=16,946)

Factor analysis/correlation                      Number of obs    =   
>   16,946
    Method: principal factors                    Retained factors =   
>        2
    Rotation: (unrotated)                        Number of params =   
>       11

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      2.62314      2.53531            1.1580       1
> .1580
        Factor2  |      0.08783      0.15377            0.0388       1
> .1968
        Factor3  |     -0.06594      0.01931           -0.0291       1
> .1677
        Factor4  |     -0.08526      0.05015           -0.0376       1
> .1301
        Factor5  |     -0.13540      0.02383           -0.0598       1
> .0703
        Factor6  |     -0.15923            .           -0.0703       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated:  chi2(15) = 3.2e+04 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------
        Variable |  Factor1   Factor2 |   Uniqueness 
    -------------+--------------------+--------------
           humor |   0.6043   -0.0856 |      0.6275  
            fair |   0.7351   -0.1038 |      0.4489  
         manners |   0.6605   -0.1311 |      0.5466  
       tolerance |   0.7226    0.1277 |      0.4616  
        generous |   0.6878    0.0319 |      0.5259  
         liberal |   0.5350    0.1877 |      0.6786  
    -------------------------------------------------
. factor welcoming friendly outward loud yob plain 
(obs=16,499)

Factor analysis/correlation                      Number of obs    =   
>   16,499
    Method: principal factors                    Retained factors =   
>        2
    Rotation: (unrotated)                        Number of params =   
>       11

    ------------------------------------------------------------------
> --------
         Factor  |   Eigenvalue   Difference        Proportion   Cumul
> ative
    -------------+----------------------------------------------------
> --------
        Factor1  |      2.02698      1.40800            0.9691       0
> .9691
        Factor2  |      0.61898      0.65546            0.2959       1
> .2650
        Factor3  |     -0.03648      0.06539           -0.0174       1
> .2476
        Factor4  |     -0.10187      0.07056           -0.0487       1
> .1989
        Factor5  |     -0.17243      0.07115           -0.0824       1
> .1165
        Factor6  |     -0.24358            .           -0.1165       1
> .0000
    ------------------------------------------------------------------
> --------
    LR test: independent vs. saturated:  chi2(15) = 2.6e+04 Prob>chi2 
> = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------
        Variable |  Factor1   Factor2 |   Uniqueness 
    -------------+--------------------+--------------
       welcoming |   0.7774   -0.0205 |      0.3952  
        friendly |   0.7834   -0.0180 |      0.3860  
         outward |   0.6613    0.0445 |      0.5607  
            loud |   0.0178    0.5572 |      0.6892  
             yob |   0.5806    0.1533 |      0.6394  
           plain |  -0.1850    0.5313 |      0.6835  
    -------------------------------------------------
. 
. alpha country christian diverse history sports poetry dance stiff //
> /
> traditional, gen (traditions) // .797 Alpha

Test scale = mean(unstandardized items)

Average interitem covariance:     .2419918
Number of items in the scale:            9
Scale reliability coefficient:      0.7972
. lab var traditions "Traditional"
. tab traditions

Traditional |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        189        0.96        0.96
   1.111111 |         23        0.12        1.08
      1.125 |          7        0.04        1.11
   1.142857 |          7        0.04        1.15
   1.166667 |          1        0.01        1.15
        1.2 |          1        0.01        1.16
   1.222222 |         87        0.44        1.60
       1.25 |         28        0.14        1.74
   1.285714 |          8        0.04        1.78
   1.333333 |        118        0.60        2.38
      1.375 |         18        0.09        2.47
        1.4 |          2        0.01        2.48
   1.428571 |          4        0.02        2.50
   1.444444 |        203        1.03        3.53
        1.5 |         30        0.15        3.68
   1.555556 |        122        0.62        4.30
   1.571429 |         15        0.08        4.38
        1.6 |          4        0.02        4.40
      1.625 |         18        0.09        4.49
   1.666667 |        158        0.80        5.29
   1.714286 |         15        0.08        5.37
       1.75 |         33        0.17        5.54
   1.777778 |        194        0.98        6.52
        1.8 |          4        0.02        6.54
   1.833333 |          4        0.02        6.56
   1.857143 |         19        0.10        6.66
      1.875 |         36        0.18        6.84
   1.888889 |        254        1.29        8.13
          2 |        594        3.01       11.14
   2.111111 |        561        2.85       13.99
      2.125 |         64        0.32       14.31
   2.142857 |         39        0.20       14.51
   2.166667 |         13        0.07       14.58
        2.2 |          6        0.03       14.61
   2.222222 |        748        3.80       18.40
       2.25 |         62        0.31       18.72
   2.285714 |         31        0.16       18.87
   2.333333 |        985        5.00       23.87
      2.375 |         80        0.41       24.28
        2.4 |          7        0.04       24.31
   2.428571 |         42        0.21       24.53
   2.444444 |      1,121        5.69       30.21
        2.5 |        147        0.75       30.96
   2.555556 |      1,363        6.92       37.87
   2.571429 |         49        0.25       38.12
        2.6 |         17        0.09       38.21
      2.625 |         82        0.42       38.63
   2.666667 |      1,491        7.56       46.19
   2.714286 |         48        0.24       46.43
       2.75 |        100        0.51       46.94
   2.777778 |      1,526        7.74       54.68
        2.8 |         14        0.07       54.75
   2.833333 |         16        0.08       54.84
   2.857143 |         36        0.18       55.02
      2.875 |        102        0.52       55.54
   2.888889 |      1,470        7.46       62.99
          3 |      1,797        9.12       72.11
   3.111111 |      1,224        6.21       78.32
      3.125 |         61        0.31       78.63
   3.142857 |         19        0.10       78.73
   3.166667 |         21        0.11       78.83
        3.2 |          8        0.04       78.87
   3.222222 |      1,115        5.66       84.53
       3.25 |         58        0.29       84.82
   3.285714 |         22        0.11       84.94
   3.333333 |        863        4.38       89.32
      3.375 |         40        0.20       89.52
        3.4 |          8        0.04       89.56
   3.428571 |         14        0.07       89.63
   3.444444 |        660        3.35       92.98
        3.5 |         64        0.32       93.30
   3.555556 |        434        2.20       95.50
   3.571429 |         15        0.08       95.58
        3.6 |          6        0.03       95.61
      3.625 |         18        0.09       95.70
   3.666667 |        282        1.43       97.13
   3.714286 |          8        0.04       97.17
       3.75 |         15        0.08       97.25
   3.777778 |        203        1.03       98.28
        3.8 |          3        0.02       98.30
   3.833333 |          2        0.01       98.31
   3.857143 |          2        0.01       98.32
      3.875 |          8        0.04       98.36
   3.888889 |        106        0.54       98.89
          4 |        218        1.11      100.00
------------+-----------------------------------
      Total |     19,710      100.00
. 
. alpha humor fair manners tolerance generous liberal, gen(values)

Test scale = mean(unstandardized items)

Average interitem covariance:     .2671014
Number of items in the scale:            6
Scale reliability coefficient:      0.8248
. // .825 Alpha 
. lab var values "Value"
. tab values

      Value |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        169        0.87        0.87
   1.166667 |         46        0.24        1.10
        1.2 |          7        0.04        1.14
       1.25 |          5        0.03        1.16
   1.333333 |         85        0.44        1.60
        1.4 |         10        0.05        1.65
        1.5 |        133        0.68        2.33
        1.6 |         17        0.09        2.42
   1.666667 |        179        0.92        3.34
       1.75 |         16        0.08        3.42
        1.8 |         36        0.18        3.61
   1.833333 |        255        1.31        4.92
          2 |        737        3.78        8.70
   2.166667 |        657        3.37       12.07
        2.2 |         82        0.42       12.49
       2.25 |         49        0.25       12.74
   2.333333 |        920        4.72       17.46
        2.4 |        125        0.64       18.10
        2.5 |      1,359        6.97       25.08
        2.6 |        166        0.85       25.93
   2.666667 |      1,570        8.06       33.99
       2.75 |         85        0.44       34.42
        2.8 |        208        1.07       35.49
   2.833333 |      1,971       10.11       45.60
          3 |      3,361       17.25       62.85
   3.166667 |      1,887        9.68       72.54
        3.2 |        215        1.10       73.64
       3.25 |         60        0.31       73.95
   3.333333 |      1,450        7.44       81.39
        3.4 |        156        0.80       82.19
        3.5 |      1,269        6.51       88.70
        3.6 |         73        0.37       89.07
   3.666667 |        870        4.46       93.54
       3.75 |         20        0.10       93.64
        3.8 |         53        0.27       93.91
   3.833333 |        576        2.96       96.87
          4 |        610        3.13      100.00
------------+-----------------------------------
      Total |     19,487      100.00
. 
. alpha welcoming friendly outward loud yob plain, gen(expressive)

Test scale = mean(unstandardized items)
Reversed item:  plain

Average interitem covariance:     .1390437
Number of items in the scale:            6
Scale reliability coefficient:      0.6194
. *egen expressive= rowmean(welcoming friendly outward loud yob plain)
. // .619 Alpha
. lab var expressive "Expressive"
. tab expressive

 Expressive |      Freq.     Percent        Cum.
------------+-----------------------------------
         -4 |          2        0.01        0.01
         -3 |         22        0.11        0.12
         -2 |          6        0.03        0.15
       -1.5 |          1        0.01        0.16
         -1 |         14        0.07        0.23
  -.6666667 |          2        0.01        0.24
        -.5 |         13        0.07        0.31
  -.3333333 |          5        0.03        0.33
       -.25 |          1        0.01        0.34
          0 |         23        0.12        0.46
   .1666667 |         11        0.06        0.51
         .2 |          6        0.03        0.54
        .25 |          2        0.01        0.55
   .3333333 |         56        0.29        0.84
         .4 |          2        0.01        0.85
         .5 |         93        0.48        1.33
         .6 |         28        0.14        1.47
   .6666667 |        310        1.59        3.07
        .75 |         33        0.17        3.24
         .8 |         45        0.23        3.47
   .8333333 |        288        1.48        4.95
          1 |        767        3.94        8.89
   1.166667 |        993        5.10       13.98
        1.2 |        120        0.62       14.60
       1.25 |         84        0.43       15.03
   1.333333 |      1,641        8.43       23.46
        1.4 |        182        0.93       24.40
        1.5 |      1,839        9.44       33.84
        1.6 |        217        1.11       34.95
   1.666667 |      2,220       11.40       46.36
       1.75 |         59        0.30       46.66
        1.8 |        218        1.12       47.78
   1.833333 |      2,384       12.24       60.02
          2 |      2,718       13.96       73.98
   2.166667 |      1,519        7.80       81.78
        2.2 |        105        0.54       82.32
       2.25 |         44        0.23       82.55
   2.333333 |        991        5.09       87.64
        2.4 |        111        0.57       88.21
        2.5 |        745        3.83       92.03
        2.6 |         92        0.47       92.51
   2.666667 |        609        3.13       95.63
       2.75 |         77        0.40       96.03
        2.8 |         94        0.48       96.51
   2.833333 |        159        0.82       97.33
          3 |        326        1.67       99.00
   3.166667 |         18        0.09       99.10
        3.2 |         30        0.15       99.25
       3.25 |         30        0.15       99.40
   3.333333 |         11        0.06       99.46
        3.4 |         21        0.11       99.57
        3.5 |         17        0.09       99.66
        3.6 |         18        0.09       99.75
   3.666667 |          4        0.02       99.77
       3.75 |          8        0.04       99.81
        3.8 |          4        0.02       99.83
          4 |         33        0.17      100.00
------------+-----------------------------------
      Total |     19,471      100.00
. }

. 
. *Demographics
. {
. *Which party did you vote for in 2015?
. tab pastvote_2015x

pastvote_20 |
        15x |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,968       35.35       35.35
          2 |      5,465       32.37       67.71
          3 |      1,524        9.03       76.74
          4 |          9        0.05       76.79
          5 |          4        0.02       76.82
          6 |      1,859       11.01       87.83
          7 |      1,018        6.03       93.86
          8 |         21        0.12       93.98
          9 |        215        1.27       95.26
         99 |        801        4.74      100.00
------------+-----------------------------------
      Total |     16,884      100.00
. recode pastvote_2015x 1=1 2=0 3=0 4=. 5=0 6=1 7=0 8=1 else=., gen(vo
> te2015)
(10,916 differences between pastvote_2015x and vote2015)
. lab var vote2015 "Voted Conservative '15"
. tab vote2015

      Voted |
Conservativ |
      e '15 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      8,011       50.51       50.51
          1 |      7,848       49.49      100.00
------------+-----------------------------------
      Total |     15,859      100.00
. 
. *Which party did you vote for in 2017?
. tab pastvote_2017

pastvote_20 |
         17 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      6,955       39.77       39.77
          2 |      7,608       43.51       83.28
          3 |      1,463        8.37       91.65
          4 |          6        0.03       91.68
          5 |          3        0.02       91.70
          6 |        344        1.97       93.66
          7 |        359        2.05       95.72
          8 |          2        0.01       95.73
         98 |        222        1.27       97.00
         99 |        525        3.00      100.00
------------+-----------------------------------
      Total |     17,487      100.00
. recode pastvote_2017 1=1 2=0 3=0 4=. 5=0 6=1 7=0 else=., gen(right)
(10,532 differences between pastvote_2017 and right)
. tab right

  RECODE of |
pastvote_20 |
         17 |
(pastvote_2 |
       017) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      9,433       56.38       56.38
          1 |      7,299       43.62      100.00
------------+-----------------------------------
      Total |     16,732      100.00
. 
. *Past vote on EU referendum
. tab pastvote_EURef

pastvote_EU |
        Ref |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      8,947       44.55       44.55
          2 |      8,397       41.82       86.37
          3 |      2,437       12.14       98.51
          4 |        300        1.49      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. recode pastvote_EURef 1=0 2=1 3/4=., gen(referendum)
(20,081 differences between pastvote_EURef and referendum)
. tab referendum

  RECODE of |
pastvote_EU |
        Ref |
(pastvote_E |
      URef) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      8,947       51.59       51.59
          1 |      8,397       48.41      100.00
------------+-----------------------------------
      Total |     17,344      100.00
. 
. *Political Attention
. tab political_attention

political_a |
   ttention |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        591        2.94        2.94
          2 |        424        2.11        5.05
          3 |        813        4.05        9.10
          4 |      1,039        5.17       14.28
          5 |      1,142        5.69       19.96
          6 |      2,722       13.56       33.52
          7 |      3,055       15.21       48.73
          8 |      5,472       27.25       75.98
          9 |      2,077       10.34       86.33
         10 |      1,273        6.34       92.66
         11 |      1,473        7.34      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab political_attention_2017

political_a |
ttention_20 |
         17 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        752        3.75        3.75
          2 |        422        2.10        5.85
          3 |        724        3.61        9.45
          4 |      1,081        5.38       14.84
          5 |      1,132        5.64       20.48
          6 |      2,692       13.41       33.88
          7 |      2,630       13.10       46.98
          8 |      4,290       21.37       68.35
          9 |      3,105       15.46       83.81
         10 |      1,126        5.61       89.42
         11 |      2,124       10.58      100.00
------------+-----------------------------------
      Total |     20,078      100.00
. rename political_attention_2017 attention
. lab var attention "Political Attention"
. tab attention

  Political |
  Attention |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        752        3.75        3.75
          2 |        422        2.10        5.85
          3 |        724        3.61        9.45
          4 |      1,081        5.38       14.84
          5 |      1,132        5.64       20.48
          6 |      2,692       13.41       33.88
          7 |      2,630       13.10       46.98
          8 |      4,290       21.37       68.35
          9 |      3,105       15.46       83.81
         10 |      1,126        5.61       89.42
         11 |      2,124       10.58      100.00
------------+-----------------------------------
      Total |     20,078      100.00
. 
. *Describe self on a political scale
. tab politics_scale_profile_update

politics_sc |
ale_profile |
    _update |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        873        4.35        4.35
          2 |      3,016       15.02       19.37
          3 |      2,948       14.68       34.05
          4 |      3,391       16.89       50.94
          5 |      2,665       13.27       64.21
          6 |      1,751        8.72       72.94
          7 |        362        1.80       74.74
          8 |      5,072       25.26      100.00
------------+-----------------------------------
      Total |     20,078      100.00
. recode politics_scale_profile_update 1/3=1 4=2 5/7=3 8=., gen(ideo3)
(19,205 differences between politics_scale_profile_update and ideo3)
. lab def ideo3a 1"Left" 2"Centre" 3"Right"
. lab var ideo3 "Ideology"
. lab val ideo3 ideo3a
. tab ideo3

   Ideology |      Freq.     Percent        Cum.
------------+-----------------------------------
       Left |      6,837       45.56       45.56
     Centre |      3,391       22.60       68.16
      Right |      4,778       31.84      100.00
------------+-----------------------------------
      Total |     15,006      100.00
. 
. recode ideo3 3=1 else=0, gen(conservative)
(20,081 differences between ideo3 and conservative)
. lab def conservative2 0"Non-Conservative" 1"Conservative"
. lab var conservative "Conservative"
. lab val conservative conservative2
. tab conservative

    Conservative |      Freq.     Percent        Cum.
-----------------+-----------------------------------
Non-Conservative |     15,303       76.21       76.21
    Conservative |      4,778       23.79      100.00
-----------------+-----------------------------------
           Total |     20,081      100.00
. 
. *Age
. tab profile_bpcage

profile_bpc |
        age |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,335       26.57       26.57
          2 |      6,319       31.47       58.04
          3 |      8,424       41.96      100.00
------------+-----------------------------------
      Total |     20,078      100.00
. rename profile_bpcage age
. lab var age "Age"
. tab age

        Age |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,335       26.57       26.57
          2 |      6,319       31.47       58.04
          3 |      8,424       41.96      100.00
------------+-----------------------------------
      Total |     20,078      100.00
. 
. *Education
. tab highest_education_gce

highest_edu |
 cation_gce |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,207        6.01        6.01
          2 |        781        3.89        9.90
          3 |      3,414       17.00       26.90
          4 |      4,138       20.61       47.51
          5 |      1,582        7.88       55.39
          6 |      6,018       29.97       85.35
          7 |        855        4.26       89.61
          8 |      2,086       10.39      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. tab highest_education_simple

highest_edu |
cation_simp |
         le |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,402       26.90       26.90
          2 |      8,661       43.13       70.03
          3 |      6,018       29.97      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. rename highest_education_simple education
. lab var education "Education"
. tab education

  Education |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      5,402       26.90       26.90
          2 |      8,661       43.13       70.03
          3 |      6,018       29.97      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. 
. *Ethnicity
. tab profile_ethnicity

profile_eth |
     nicity |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     17,179       86.05       86.05
          2 |        808        4.05       90.09
          3 |         83        0.42       90.51
          4 |         37        0.19       90.69
          5 |        129        0.65       91.34
          6 |        136        0.68       92.02
          7 |        356        1.78       93.80
          8 |        229        1.15       94.95
          9 |         89        0.45       95.40
         10 |        115        0.58       95.97
         11 |        166        0.83       96.80
         12 |        168        0.84       97.65
         13 |         27        0.14       97.78
         14 |        180        0.90       98.68
         15 |        150        0.75       99.43
         16 |        113        0.57      100.00
------------+-----------------------------------
      Total |     19,965      100.00
. recode profile_ethnicity 1/2=1 3/16=0, gen(white)
(2,786 differences between profile_ethnicity and white)
. lab var white "White"
. lab def white1 0"Non-White" 1"White"
. lab val white white1
. tab white

      White |      Freq.     Percent        Cum.
------------+-----------------------------------
  Non-White |      1,978        9.91        9.91
      White |     17,987       90.09      100.00
------------+-----------------------------------
      Total |     19,965      100.00
. 
. *Gender
. tab profile_gender

profile_gen |
        der |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      8,393       41.80       41.80
          2 |     11,688       58.20      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. recode profile_gender 1=0 2=1, gen(female)
(20,081 differences between profile_gender and female)
. lab var female "Female"
. tab female

     Female |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      8,393       41.80       41.80
          1 |     11,688       58.20      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. 
. *Household Income
. tab xprofile_gross_household

xprofile_gr |
oss_househo |
         ld |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        459        2.43        2.43
          2 |        945        5.01        7.45
          3 |      1,445        7.66       15.11
          4 |      1,454        7.71       22.82
          5 |      1,580        8.38       31.20
          6 |      1,418        7.52       38.72
          7 |      1,205        6.39       45.11
          8 |      1,017        5.39       50.51
          9 |        903        4.79       55.30
         10 |        769        4.08       59.37
         11 |        888        4.71       64.08
         12 |        637        3.38       67.46
         13 |        954        5.06       72.52
         14 |        321        1.70       74.22
         15 |        142        0.75       74.98
         16 |      1,303        6.91       81.89
         17 |      3,415       18.11      100.00
------------+-----------------------------------
      Total |     18,855      100.00
. recode xprofile_gross_household 16/17=., gen(income)
(4,718 differences between xprofile_gross_household and income)
. lab var income "Income"
. tab income

     Income |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        459        3.25        3.25
          2 |        945        6.68        9.93
          3 |      1,445       10.22       20.15
          4 |      1,454       10.29       30.44
          5 |      1,580       11.18       41.61
          6 |      1,418       10.03       51.64
          7 |      1,205        8.52       60.17
          8 |      1,017        7.19       67.36
          9 |        903        6.39       73.75
         10 |        769        5.44       79.19
         11 |        888        6.28       85.47
         12 |        637        4.51       89.98
         13 |        954        6.75       96.72
         14 |        321        2.27       99.00
         15 |        142        1.00      100.00
------------+-----------------------------------
      Total |     14,137      100.00
. 
. *Religious/non-religious
. tab profile_religion,m

profile_rel |
      igion |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      9,941       49.50       49.50
          2 |      5,395       26.87       76.37
          3 |      1,452        7.23       83.60
          4 |        103        0.51       84.11
          5 |        423        2.11       86.22
          6 |        161        0.80       87.02
          7 |         72        0.36       87.38
          8 |          5        0.02       87.41
          9 |         14        0.07       87.48
         10 |        126        0.63       88.10
         11 |        147        0.73       88.84
         12 |        415        2.07       90.90
         13 |         65        0.32       91.23
         14 |        103        0.51       91.74
         15 |        516        2.57       94.31
         16 |        606        3.02       97.33
         17 |        139        0.69       98.02
         18 |        161        0.80       98.82
         19 |        235        1.17       99.99
          . |          2        0.01      100.00
------------+-----------------------------------
      Total |     20,081      100.00
. recode profile_religion 1=0 else=1, gen(relig)
(20,081 differences between profile_religion and relig)
. lab var relig "White"
. lab def relig1 0"Non-Religious" 1"Religious"
. lab val relig relig1
. tab relig

        White |      Freq.     Percent        Cum.
--------------+-----------------------------------
Non-Religious |      9,941       49.50       49.50
    Religious |     10,140       50.50      100.00
--------------+-----------------------------------
        Total |     20,081      100.00
. }

. 
. 
end of do-file

. do "/var/folders/gb/wjczt4kn3sd6vy4y14s1c74c0000gp/T//SD32101.000000
> "

. 
. 
. *Figure 1: "UK: Frame Clusterings"
.         graph bar (mean) values traditions expressive, title(Aggrega
> te) ysc(r(1) ///
>         titleg(1)) ylab(0(1)4) blabel(bar, position(center) format( 
> %4.0g) size(3) ///
>         color(white)) bargap(30) legend(label(1 "Value Frames") ///
>         label(2 "Traditional Frames") label(3 "Expressive Frames") s
> ize(3) ///
>         rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15
> ) ///
>         margin(medsmall))) ytitle(support scale) 

.         graph save cluster1.gph, replace
(file cluster1.gph not found)
file cluster1.gph saved

. 
.         *Frame Clusterings*Race
.         graph bar (mean) values traditions expressive, over(white) t
> itle(Race) ///
>         ysc(r(1) titleg(1)) ylab(0(1)4) blabel(bar, position(center)
>  ///
>         format( %4.0g) size(3) color(white)) bargap(-15) ///
>         legend(label(1 "Value Frames") label(2 "Traditional Frames")
>  ///
>         label(3 "Expressive Frames") size(3) rowgap(*.45) pos(6) row
> s(1) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(
> support scale) 

.         graph save cluster2.gph, replace        
(file cluster2.gph not found)
file cluster2.gph saved

.         
.         *Frame Clusterings*Ideology
.         graph bar (mean) values traditions expressive, over(conserva
> tive) ///
>         title(Ideology) ysc(r(1) titleg(1)) ylab(0(1)4) blabel(bar, 
> position(center) ///
>         format( %4.0g) size(3) color(white)) bargap(-15) ///
>         legend(label(1 "Value Frames") label(2 "Traditional Frames")
>  ///
>         label(3 "Expressive Frames") size(3) rowgap(*.45) pos(6) row
> s(1) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(
> support scale) 

.         graph save cluster3.gph, replace
(file cluster3.gph not found)
file cluster3.gph saved

.         
.         *Frame Clusterings*Religiosity
.         graph bar (mean) values traditions expressive, over(relig) /
> //
>         title(Religiosity) ysc(r(1) titleg(1)) ylab(0(1)4) blabel(ba
> r, ///
>         position(center) format( %4.0g) size(3) color(white)) bargap
> (-15) ///
>         legend(label(1 "Value Frames") label(2 "Traditional Frames")
>  ///
>         label(3 "Expressive Frames") size(3) rowgap(*.45) pos(6) row
> s(1) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(
> support scale) 

.         graph save cluster4.gph, replace        
(file cluster4.gph not found)
file cluster4.gph saved

. 
.         grc1leg cluster1.gph cluster2.gph cluster3.gph cluster4.gph,
>  ///
>         ycommon col(2) title("UK: Frame Clusterings") ///
>         note("Factor 1 Eigenvalue: Tradition (2.92), Value (2.62), E
> xpression (2.03)" "Scale Reliability: Tradition (.797), Value (.825)
> , Expression (.619)", size(3) pos(6))

. 
. 
. 
. *Figure 2: "UK Value Frames"
.         graph bar (mean) humor manners fair tolerance generous liber
> al, ///
>         title(Aggregate) ysc(r(1) titleg(1)) ylab(0(1)4) blabel(bar,
>  ///
>         position(center) format( %4.0g) size(3) color(white)) bargap
> (30) ///
>         legend(label(1 "Sense of humor") label(2 "Good manners") ///
>         label(3 "Sense of fair play") label(4 "Tolerance") label(5 "
> Generosity") ///
>         label(6 "Liberal") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(support scale)

.         graph save value1.gph, replace
(file value1.gph not found)
file value1.gph saved

. 
.         *Values*Race
.         graph bar (mean) humor manners fair tolerance generous liber
> al, ///
>         over(white) title(Race) ysc(r(1) titleg(1)) ylab(0(1)4) blab
> el(bar, ///
>         position(center) format( %4.0g) size(2) color(white)) bargap
> (-15) ///
>         legend(label(1 "Sense of humor") label(2 "Good manners") ///
>         label(3 "Sense of fair play") label(4 "Tolerance") label(5 "
> Generosity") ///
>         label(6 "Liberal") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(support scale)

.         graph save value2.gph, replace  
(file value2.gph not found)
file value2.gph saved

.         
.         *Values*Ideology
.         graph bar (mean) humor manners fair tolerance generous liber
> al, ///
>         over(conservative) title(Ideology) ysc(r(1) titleg(1)) ylab(
> 0(1)4) blabel(bar, ///
>         position(center) format( %4.0g) size(2) color(white)) bargap
> (-15) ///
>         legend(label(1 "Sense of humor") label(2 "Good manners") ///
>         label(3 "Sense of fair play") label(4 "Tolerance") label(5 "
> Generosity") ///
>         label(6 "Liberal") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(support scale)

.         graph save value3.gph, replace  
(file value3.gph not found)
file value3.gph saved

.         
.         *Values*Religiosity
.         graph bar (mean) humor manners fair tolerance generous liber
> al, ///
>         over(relig) title(Religiosity) ysc(r(1) titleg(1)) ylab(0(1)
> 4) blabel(bar, ///
>         position(center) format( %4.0g) size(2) color(white)) bargap
> (-15) ///
>         legend(label(1 "Sense of humor") label(2 "Good manners") ///
>         label(3 "Sense of fair play") label(4 "Tolerance") label(5 "
> Generosity") ///
>         label(6 "Liberal") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(support scale)   

.         graph save value4.gph, replace  
(file value4.gph not found)
file value4.gph saved

.         
.         grc1leg value1.gph value2.gph value3.gph value4.gph, ycommon
>  col(2) ///
>         title("UK: Value Frames") note("Scale: Not at all (1), Not v
> ery strongly (2), Fairly strongly (3), Very strongly (4). Source: Yo
> uGov/BBC, March 2018", size(2) pos(6))

. 
.         
.         
. *Figure 3: "UK: Traditional Frames"
.         graph bar (mean) country history traditional stiff poetry di
> verse sports ///
>         dance christian, title(Aggregate) ysc(r(1) titleg(1)) ///
>         ylab(0(1)4) blabel(bar, position(center) format( %4.0g) size
> (3) ///
>         color(white)) bargap(30) legend(label(1 "Countryside") ///
>         label(2 "History, heritage") label(3 "Traditional") ///
>         label(4 "Stiff upper lip") label(5 "Poetry, literature, art"
> ) ///
>         label(6 "Diverse cultural life") label(7 "Sports, leisure ac
> tivities") ///
>         label(8 "Dance, music") label(8 "Christian tradition") size(
> 2.5) ///
>         rowgap(*.45) pos(6) rows(3) region(style(legend) fcolor(gs15
> ) ///
>         margin(medsmall))) ytitle(support scale)

.         graph save tradition1.gph, replace
(file tradition1.gph not found)
file tradition1.gph saved

. 
.         *Traditional*Race
.         graph bar (mean) country history traditional stiff poetry di
> verse sports ///
>         dance christian, over(white) title(Race) ysc(r(1) titleg(1))
>  ///
>         ylab(0(1)4) blabel(bar, position(center) format( %4.0g) size
> (2) ///
>         color(white)) bargap(-15) legend(label(1 "Countryside") ///
>         label(2 "History, heritage") label(3 "Traditional") ///
>         label(4 "Stiff upper lip") label(5 "Poetry, literature, art"
> ) ///
>         label(6 "Diverse cultural life") label(7 "Sports, leisure ac
> tivities") ///
>         label(8 "Dance, music") label(8 "Christian tradition") size(
> 2.5) ///
>         rowgap(*.45) pos(6) rows(3) region(style(legend) fcolor(gs15
> ) ///
>         margin(medsmall))) ytitle(support scale)

.         graph save tradition2.gph, replace
(file tradition2.gph not found)
file tradition2.gph saved

.         
.         *Traditional*Ideology
.         graph bar (mean) country history traditional stiff poetry di
> verse sports ///
>         dance christian, over(conservative) title(Ideology) ysc(r(1)
>  titleg(1)) ///
>         ylab(0(1)4) blabel(bar, position(center) format( %4.0g) size
> (2) ///
>         color(white)) bargap(-15) legend(label(1 "Countryside") ///
>         label(2 "History, heritage") label(3 "Traditional") ///
>         label(4 "Stiff upper lip") label(5 "Poetry, literature, art"
> ) ///
>         label(6 "Diverse cultural life") label(7 "Sports, leisure ac
> tivities") ///
>         label(8 "Dance, music") label(8 "Christian tradition") size(
> 2.5) ///
>         rowgap(*.45) pos(6) rows(3) region(style(legend) fcolor(gs15
> ) ///
>         margin(medsmall))) ytitle(support scale)

.         graph save tradition3.gph, replace
(file tradition3.gph not found)
file tradition3.gph saved

.         
.         *Traditional*Religiosity
.         graph bar (mean) country history traditional stiff poetry di
> verse sports ///
>         dance christian, over(relig) title(Religiosity) ysc(r(1) tit
> leg(1)) ///
>         ylab(0(1)4) blabel(bar, position(center) format( %4.0g) size
> (2) ///
>         color(white)) bargap(-15) legend(label(1 "Countryside") ///
>         label(2 "History, heritage") label(3 "Traditional") ///
>         label(4 "Stiff upper lip") label(5 "Poetry, literature, art"
> ) ///
>         label(6 "Diverse cultural life") label(7 "Sports, leisure ac
> tivities") ///
>         label(8 "Dance, music") label(8 "Christian tradition") size(
> 2.5) ///
>         rowgap(*.45) pos(6) rows(3) region(style(legend) fcolor(gs15
> ) ///
>         margin(medsmall))) ytitle(support scale)

.         graph save tradition4.gph, replace
(file tradition4.gph not found)
file tradition4.gph saved

.         
.         grc1leg tradition1.gph tradition2.gph tradition3.gph traditi
> on4.gph, ///
>         ycommon col(2) title("UK: Traditional Frames") ///
>         note("Scale: Not at all (1), Not very strongly (2), Fairly s
> trongly (3), Very strongly (4). Source: YouGov/BBC, March 2018", siz
> e(2) pos(6))

. 
.         
.         
. *Figure 4: "UK: Expressive Frames"
.         graph bar (mean) friendly welcoming yob outward plain loud, 
> title(Aggregate) ///
>         ysc(r(1) titleg(1)) ylab(0(1)4) blabel(bar,position(center) 
> format( %4.0g) ///
>         size(3) color(white)) bargap(30) legend(label(1 "Friendlines
> s") ///
>         label(2 "Welcoming") label(3 "Yob culture") label(4 "Outward
>  looking") ///
>         label(5 "Plain-speaking") label(6 "Loud") size(2.5) rowgap(*
> .45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall)))
>  ///
>         ytitle(support scale)

.         graph save expressive1.gph, replace
(file expressive1.gph not found)
file expressive1.gph saved

. 
.         *Expressive*Race
.         graph bar (mean) friendly welcoming yob outward plain loud, 
> over(white) ///
>         title(Race) ysc(r(1) titleg(1)) ylab(0(1)4) blabel(bar,posit
> ion(center) ///
>         format( %4.0g) size(2) color(white)) bargap(-15) ///
>         legend(label(1 "Friendliness") label(2 "Welcoming") ///
>         label(3 "Yob culture") label(4 "Outward looking") ///
>         label(5 "Plain-speaking") label(6 "Loud") size(2.5) rowgap(*
> .45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall)))
>  ///
>         ytitle(support scale)

.         graph save expressive2.gph, replace
(file expressive2.gph not found)
file expressive2.gph saved

.         
.         *Expressive*Ideology
.         graph bar (mean) friendly welcoming yob outward plain loud, 
> ///
>         over(conservative) title(Ideology) ysc(r(1) titleg(1)) ylab(
> 0(1)4) ///
>         blabel(bar,position(center) format( %4.0g) size(2) color(whi
> te)) ///
>         bargap(-15) legend(label(1 "Friendliness") label(2 "Welcomin
> g") ///
>         label(3 "Yob culture") label(4 "Outward looking") ///
>         label(5 "Plain-speaking") label(6 "Loud") size(2.5) rowgap(*
> .45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall)))
>  ///
>         ytitle(support scale)

.         graph save expressive3.gph, replace     
(file expressive3.gph not found)
file expressive3.gph saved

.         
.         *Expressive*Religiosity
.         graph bar (mean) friendly welcoming yob outward plain loud, 
> ///
>         over(relig) title(Religiosity) ysc(r(1) titleg(1)) ylab(0(1)
> 4) ///
>         blabel(bar,position(center) format( %4.0g) size(2) color(whi
> te)) ///
>         bargap(-15) legend(label(1 "Friendliness") label(2 "Welcomin
> g") ///
>         label(3 "Yob culture") label(4 "Outward looking") ///
>         label(5 "Plain-speaking") label(6 "Loud") size(2.5) rowgap(*
> .45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall)))
>  ///
>         ytitle(support scale)

.         graph save expressive4.gph, replace             
(file expressive4.gph not found)
file expressive4.gph saved

. 
.         grc1leg expressive1.gph expressive2.gph expressive3.gph expr
> essive4.gph, ///
>         ycommon col(2) title("UK: Expressive Frames") ///
>         note("Scale: Not at all (1), Not very strongly (2), Fairly s
> trongly (3), Very strongly (4). Source: YouGov/BBC, March 2018", siz
> e(2) pos(6))

. 
.         
.         
. *Figure 5: "UK: Predictors of Frame Clusterings"        
.         reg values age education income female attention i.conservat
> ive i.white i.relig

      Source |       SS           df       MS      Number of obs   =  
>   13,755
-------------+----------------------------------   F(8, 13746)     =  
>    94.72
       Model |  231.602896         8   28.950362   Prob > F        =  
>   0.0000
    Residual |  4201.44369    13,746  .305648457   R-squared       =  
>   0.0522
-------------+----------------------------------   Adj R-squared   =  
>   0.0517
       Total |  4433.04659    13,754  .322309625   Root MSE        =  
>   .55285

----------------------------------------------------------------------
> --------
      values | Coefficient  Std. err.      t    P>|t|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         age |   .0589289   .0066012     8.93   0.000     .0459897    
> .0718681
   education |  -.0556001   .0067594    -8.23   0.000    -.0688495   -
> .0423507
      income |   .0013196   .0013989     0.94   0.346    -.0014223    
> .0040616
      female |   .0057898   .0099098     0.58   0.559    -.0136347    
> .0252143
   attention |   .0065811   .0020481     3.21   0.001     .0025665    
> .0105956
             |
conservative |
Conservat~e  |    .157663   .0114164    13.81   0.000     .1352854    
> .1800407
             |
       white |
      White  |   .1373658   .0173398     7.92   0.000     .1033773    
> .1713543
             |
       relig |
  Religious  |   .0795982   .0097969     8.12   0.000     .0603948    
> .0988016
       _cons |   2.628277    .030615    85.85   0.000     2.568267    
> 2.688286
----------------------------------------------------------------------
> --------

.         eststo a

.         reg traditions age education income female attention i.conse
> rvative i.white ///
>         i.relig

      Source |       SS           df       MS      Number of obs   =  
>   13,894
-------------+----------------------------------   F(8, 13885)     =  
>   184.33
       Model |  412.330459         8  51.5413074   Prob > F        =  
>   0.0000
    Residual |  3882.39538    13,885  .279610758   R-squared       =  
>   0.0960
-------------+----------------------------------   Adj R-squared   =  
>   0.0955
       Total |  4294.72584    13,893  .309128758   Root MSE        =  
>   .52878

----------------------------------------------------------------------
> --------
  traditions | Coefficient  Std. err.      t    P>|t|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         age |   .0840291    .006284    13.37   0.000     .0717116    
> .0963466
   education |  -.0342152   .0064342    -5.32   0.000    -.0468271   -
> .0216034
      income |  -.0003078    .001332    -0.23   0.817    -.0029188    
> .0023031
      female |   .0220983   .0094339     2.34   0.019     .0036066    
> .0405901
   attention |   .0215772   .0019433    11.10   0.000      .017768    
> .0253863
             |
conservative |
Conservat~e  |   .0922152   .0108955     8.46   0.000     .0708585    
> .1135719
             |
       white |
      White  |   .1271021   .0164964     7.70   0.000     .0947669    
> .1594373
             |
       relig |
  Religious  |   .2175611    .009323    23.34   0.000     .1992867    
> .2358356
       _cons |   2.205098   .0291216    75.72   0.000     2.148016    
>  2.26218
----------------------------------------------------------------------
> --------

.         eststo b

.         reg expressive age education income female attention i.conse
> rvative i.white ///
>         i.relig

      Source |       SS           df       MS      Number of obs   =  
>   13,744
-------------+----------------------------------   F(8, 13735)     =  
>   123.04
       Model |  283.739192         8   35.467399   Prob > F        =  
>   0.0000
    Residual |  3959.24343    13,735  .288259442   R-squared       =  
>   0.0669
-------------+----------------------------------   Adj R-squared   =  
>   0.0663
       Total |  4242.98263    13,743   .30873773   Root MSE        =  
>    .5369

----------------------------------------------------------------------
> --------
  expressive | Coefficient  Std. err.      t    P>|t|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         age |   .0108217   .0064135     1.69   0.092    -.0017496    
> .0233931
   education |  -.1057871   .0065674   -16.11   0.000    -.1186601   -
> .0929142
      income |  -.0101674   .0013597    -7.48   0.000    -.0128326   -
> .0075021
      female |   .0220901   .0096274     2.29   0.022      .003219    
> .0409611
   attention |  -.0145098   .0019879    -7.30   0.000    -.0184063   -
> .0106133
             |
conservative |
Conservat~e  |   .0988644   .0110937     8.91   0.000     .0771192    
> .1206096
             |
       white |
      White  |   .0575972   .0168253     3.42   0.001     .0246173    
> .0905771
             |
       relig |
  Religious  |   .1183357   .0095198    12.43   0.000     .0996756    
> .1369958
       _cons |   1.999866    .029725    67.28   0.000     1.941601    
> 2.058131
----------------------------------------------------------------------
> --------

.         eststo c

. 
.         coefplot (a, label(Value Frames)) (b, label(Traditional Fram
> es)) ///
>         (c, label(Expressive Frames)), drop(_cons) xline(0) bycoefs 
> legend(size(3)  ///
>         rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15
> ) margin(medsmall)))

. 
.         
.         
. *Figure 6: "UK: Vote Choice"
.         logit referendum values traditions expressive age education 
> income female ///
>         attention i.conservative i.white i.relig

Iteration 0:   log likelihood = -8437.4742  
Iteration 1:   log likelihood = -6985.6824  
Iteration 2:   log likelihood = -6977.8473  
Iteration 3:   log likelihood = -6977.8354  
Iteration 4:   log likelihood = -6977.8354  

Logistic regression                                    Number of obs =
>   12,183
                                                       LR chi2(11)   =
>  2919.28
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -6977.8354                            Pseudo R2     =
>   0.1730

----------------------------------------------------------------------
> --------
  referendum | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
      values |   .2009132   .0515017     3.90   0.000     .0999718    
> .3018546
  traditions |   .1225351   .0467326     2.62   0.009     .0309409    
> .2141294
  expressive |   .5163705   .0519749     9.93   0.000     .4145015    
> .6182395
         age |   .2713888   .0293313     9.25   0.000     .2139005    
> .3288772
   education |  -.5933308   .0292922   -20.26   0.000    -.6507425   -
> .5359191
      income |  -.0730546   .0062129   -11.76   0.000    -.0852317   -
> .0608775
      female |  -.1720644   .0432171    -3.98   0.000    -.2567683   -
> .0873606
   attention |   -.110592   .0095001   -11.64   0.000    -.1292118   -
> .0919722
             |
conservative |
Conservat~e  |   1.177118   .0496453    23.71   0.000     1.079815    
> 1.274421
             |
       white |
      White  |   .3028592     .08144     3.72   0.000     .1432398    
> .4624786
             |
       relig |
  Religious  |   .1686818    .043407     3.89   0.000     .0836056    
>  .253758
       _cons |  -.5438954   .1817838    -2.99   0.003     -.900185   -
> .1876058
----------------------------------------------------------------------
> --------

.         eststo referendum1      

. 
.         logit right values traditions expressive age education incom
> e female ///
>         attention i.conservative i.white i.relig, or

Iteration 0:   log likelihood = -8050.5054  
Iteration 1:   log likelihood =  -5569.019  
Iteration 2:   log likelihood = -5561.1049  
Iteration 3:   log likelihood =    -5561.1  
Iteration 4:   log likelihood =    -5561.1  

Logistic regression                                    Number of obs =
>   11,759
                                                       LR chi2(11)   =
>  4978.81
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -5561.1                               Pseudo R2     =
>   0.3092

----------------------------------------------------------------------
> --------
       right | Odds ratio   Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
      values |   1.168055   .0690137     2.63   0.009     1.040329    
> 1.311463
  traditions |   1.164237   .0626809     2.82   0.005     1.047644    
> 1.293805
  expressive |   1.496706   .0892509     6.76   0.000     1.331613    
> 1.682267
         age |   1.730499   .0596953    15.90   0.000     1.617366    
> 1.851546
   education |   .6407227    .021708   -13.14   0.000     .5995577    
>  .684714
      income |    1.04329   .0075271     5.87   0.000     1.028641    
> 1.058147
      female |   .9099733   .0449244    -1.91   0.056     .8260489    
> 1.002424
   attention |    .866304   .0095177   -13.06   0.000      .847849    
> .8851607
             |
conservative |
Conservat~e  |   17.86545   1.140161    45.17   0.000     15.76489    
>  20.2459
             |
       white |
      White  |   2.184515   .2238536     7.63   0.000     1.787022    
> 2.670423
             |
       relig |
  Religious  |    1.48654   .0736971     8.00   0.000     1.348892    
> 1.638234
       _cons |   .0501172   .0109683   -13.68   0.000     .0326361    
> .0769618
----------------------------------------------------------------------
> --------
Note: _cons estimates baseline odds.

.         eststo right1

. 
.         coefplot (right1, label("Voted Right")) (referendum1, ///
>         label("Voted Brexit")), xline(0) drop(_cons) ///
>         title("UK: Vote Choice") subtitle("Logistic Regression Coeff
> icients, 95% CIs") ///
>         ysize(8) nolabels byopts(legend(on)) ///
>         coefl(values="Values" traditions="Traditional" ///
>         expressive="Expressive" age="Age" education="Education" inco
> me="Income" ///
>         female="Female" attention="Political Attention" ///
>         1.conservative="Conservative" 1.white="White" 1.relig="Relig
> ious")

.         
.         
.         
. *Figure 7: "UK: Effect of National Frames on Conservative Vote '17"
.         logit right values traditions expressive age education incom
> e ///
>         female attention i.b2.ideo3 white, or

Iteration 0:   log likelihood = -6585.9587  
Iteration 1:   log likelihood = -3611.9329  
Iteration 2:   log likelihood = -3550.5803  
Iteration 3:   log likelihood = -3549.8915  
Iteration 4:   log likelihood = -3549.8913  

Logistic regression                                    Number of obs =
>    9,634
                                                       LR chi2(11)   =
>  6072.13
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -3549.8913                            Pseudo R2     =
>   0.4610

----------------------------------------------------------------------
> --------
       right | Odds ratio   Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
      values |   1.322661   .1019857     3.63   0.000     1.137144    
> 1.538443
  traditions |   1.202273   .0842335     2.63   0.009     1.048012    
>  1.37924
  expressive |   1.159745   .0921854     1.86   0.062     .9924357    
>  1.35526
         age |   1.900223   .0840854    14.51   0.000     1.742363    
> 2.072385
   education |    .737147     .03195    -7.04   0.000     .6771122    
> .8025047
      income |   1.028705   .0093717     3.11   0.002       1.0105    
> 1.047238
      female |   .8884018   .0549806    -1.91   0.056     .7869208    
>  1.00297
   attention |   .9481677    .014541    -3.47   0.001     .9200919    
> .9771001
             |
       ideo3 |
       Left  |   .1002797   .0076193   -30.27   0.000     .0864049    
> .1163825
      Right  |   6.493331   .4897905    24.80   0.000     5.600948    
> 7.527894
             |
       white |   2.394863   .2990851     6.99   0.000     1.874897    
> 3.059032
       _cons |   .0490982    .014127   -10.47   0.000     .0279351    
>  .086294
----------------------------------------------------------------------
> --------
Note: _cons estimates baseline odds.

. 
.         margins, at(values=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,634
Model VCE: OIM

Expression: Pr(right), predict()
1._at: values = 0
2._at: values = 1
3._at: values = 2
4._at: values = 3
5._at: values = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .3354653   .0269964    12.43   0.000     .2825533    
> .3883773
          2  |   .3677108   .0180955    20.32   0.000     .3322443    
> .4031774
          3  |   .3998967   .0093987    42.55   0.000     .3814756    
> .4183178
          4  |   .4320066   .0034882   123.85   0.000     .4251698    
> .4388435
          5  |   .4641166   .0098823    46.96   0.000     .4447475    
> .4834856
----------------------------------------------------------------------
> --------

.         marginsplot, title("Value Frames") ytitle("Pr(Voted)") ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: values

.         graph save 1.gph, replace
(file 1.gph not found)
file 1.gph saved

. 
.         margins, at(traditions=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,634
Model VCE: OIM

Expression: Pr(right), predict()
1._at: traditions = 0
2._at: traditions = 1
3._at: traditions = 2
4._at: traditions = 3
5._at: traditions = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .3719753   .0229548    16.20   0.000     .3269847    
>  .416966
          2  |   .3930249   .0150033    26.20   0.000      .363619    
> .4224307
          3  |    .414037    .007391    56.02   0.000     .3995508    
> .4285231
          4  |   .4350247   .0037689   115.42   0.000     .4276378    
> .4424116
          5  |    .456017   .0101688    44.84   0.000     .4360866    
> .4759474
----------------------------------------------------------------------
> --------

.         marginsplot, title("Traditional Frames") ytitle("Pr(Voted)")
>  ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: traditions

.         graph save 2.gph, replace
(file 2.gph not found)
file 2.gph saved

. 
.         margins, at(expressive=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,634
Model VCE: OIM

Expression: Pr(right), predict()
1._at: expressive = 0
2._at: expressive = 1
3._at: expressive = 2
4._at: expressive = 3
5._at: expressive = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .4007202   .0167755    23.89   0.000     .3678409    
> .4335995
          2  |   .4176087   .0080577    51.83   0.000     .4018158    
> .4334016
          3  |   .4344872    .003914   111.01   0.000     .4268158    
> .4421585
          4  |   .4513713   .0115117    39.21   0.000     .4288087    
> .4739339
          5  |   .4682824   .0204621    22.89   0.000     .4281774    
> .5083874
----------------------------------------------------------------------
> --------

.         marginsplot, title("Expression Frames") ytitle("Pr(Voted)") 
> ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: expressive

.         graph save 3.gph, replace
(file 3.gph not found)
file 3.gph saved

. 
.         grc1leg 1.gph 2.gph 3.gph, ycommon col(3) ///
>         title("UK: Effect of National Frames on Conservative Vote '1
> 7") ///
>         subtitle("Marginal Predictions w/95% CIs")      

. 
.         
.         
.         
. *Figure 8: "UK: Effect of National Frames on Leave EU Vote"
.         logit referendum values traditions expressive age education 
> income ///
>         female attention i.b2.ideo3 white, or

Iteration 0:   log likelihood = -6760.1089  
Iteration 1:   log likelihood = -5279.1013  
Iteration 2:   log likelihood = -5260.2751  
Iteration 3:   log likelihood = -5260.2337  
Iteration 4:   log likelihood = -5260.2337  

Logistic regression                                    Number of obs =
>    9,821
                                                       LR chi2(11)   =
>  2999.75
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -5260.2337                            Pseudo R2     =
>   0.2219

----------------------------------------------------------------------
> --------
  referendum | Odds ratio   Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
      values |   1.320826   .0803629     4.57   0.000     1.172347    
> 1.488111
  traditions |   1.171615   .0642861     2.89   0.004     1.052155    
> 1.304638
  expressive |   1.535779   .0957454     6.88   0.000     1.359133    
> 1.735383
         age |   1.341793   .0457138     8.63   0.000     1.255122    
>  1.43445
   education |   .6040803   .0205272   -14.83   0.000     .5651582    
> .6456828
      income |   .9236518   .0066086   -11.10   0.000     .9107896    
> .9366956
      female |    .806366   .0394291    -4.40   0.000     .7326739    
> .8874699
   attention |   .9570482   .0116181    -3.62   0.000     .9345459    
> .9800924
             |
       ideo3 |
       Left  |   .3437656   .0214326   -17.13   0.000     .3042236    
> .3884472
      Right  |   2.050994   .1306107    11.28   0.000     1.810333    
> 2.323648
             |
       white |   1.163159    .108552     1.62   0.105      .968725    
> 1.396618
       _cons |   .4758618   .1051759    -3.36   0.001     .3085649    
>  .733863
----------------------------------------------------------------------
> --------
Note: _cons estimates baseline odds.

.         eststo referendum

. 
.         margins, at(values=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,821
Model VCE: OIM

Expression: Pr(referendum), predict()
1._at: values = 0
2._at: values = 1
3._at: values = 2
4._at: values = 3
5._at: values = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .3066308   .0302667    10.13   0.000     .2473092    
> .3659523
          2  |   .3534861   .0213801    16.53   0.000      .311582    
> .3953903
          3  |   .4024742   .0115016    34.99   0.000     .3799314    
> .4250169
          4  |   .4528574   .0043784   103.43   0.000     .4442759    
> .4614388
          5  |   .5038747   .0125664    40.10   0.000     .4792451    
> .5285043
----------------------------------------------------------------------
> --------

.         marginsplot, title("Value Frames") ytitle("Pr(Voted)") ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: values

.         graph save 1.gph, replace
file 1.gph saved

. 
.         margins, at(traditions=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,821
Model VCE: OIM

Expression: Pr(referendum), predict()
1._at: traditions = 0
2._at: traditions = 1
3._at: traditions = 2
4._at: traditions = 3
5._at: traditions = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .3723683   .0271695    13.71   0.000     .3191171    
> .4256195
          2  |   .4001473    .018063    22.15   0.000     .3647445    
> .4355502
          3  |    .428372   .0089632    47.79   0.000     .4108045    
> .4459395
          4  |   .4569063   .0047853    95.48   0.000     .4475273    
> .4662854
          5  |   .4856142   .0128743    37.72   0.000      .460381    
> .5108473
----------------------------------------------------------------------
> --------

.         marginsplot, title("Traditional Frames") ytitle("Pr(Voted)")
>  ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: traditions

.         graph save 2.gph, replace
file 2.gph saved

. 
.         margins, at(expressive=(0(1)4))

Predictive margins                                       Number of obs
>  = 9,821
Model VCE: OIM

Expression: Pr(referendum), predict()
1._at: expressive = 0
2._at: expressive = 1
3._at: expressive = 2
4._at: expressive = 3
5._at: expressive = 4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at |
          1  |   .3153464   .0194464    16.22   0.000     .2772322    
> .3534605
          2  |   .3901552   .0099172    39.34   0.000     .3707178    
> .4095927
          3  |   .4688967   .0051809    90.50   0.000     .4587423    
> .4790512
          4  |   .5486527    .015167    36.17   0.000      .518926    
> .5783794
          5  |   .6265021   .0256084    24.46   0.000     .5763105    
> .6766937
----------------------------------------------------------------------
> --------

.         marginsplot, title("Expression Frames") ytitle("Pr(Voted)") 
> ///
>         xtitle("Support scale") ylabel(0(.20)1) note("Positive signi
> ficant effect", pos(6))

Variables that uniquely identify margins: expressive

.         graph save 3.gph, replace
file 3.gph saved

. 
.         grc1leg 1.gph 2.gph 3.gph, ycommon col(3) ///
>         title("UK: Effect of National Frames on Leave EU Vote") ///
>         subtitle("Marginal Predictions w/95% CIs")      

. 
.         
.         
.         
. *Figure 9: "Marginal Effects of Value Frames on Referendum Vote"    
>             
.         logit referendum i.conservative##c.values i.conservative##c.
> traditions ///
>         i.conservative##c.expressive age education income female att
> ention ///
>         i.white i.relig

Iteration 0:   log likelihood = -8437.4742  
Iteration 1:   log likelihood = -6981.7738  
Iteration 2:   log likelihood = -6973.7666  
Iteration 3:   log likelihood = -6973.7542  
Iteration 4:   log likelihood = -6973.7542  

Logistic regression                                    Number of obs =
>   12,183
                                                       LR chi2(14)   =
>  2927.44
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -6973.7542                            Pseudo R2     =
>   0.1735

----------------------------------------------------------------------
> --------
  referendum | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
conservative |
Conservat~e  |   1.382386   .3222295     4.29   0.000     .7508281    
> 2.013944
      values |   .1483055   .0586015     2.53   0.011     .0334487    
> .2631623
             |
conservative#|
    c.values |
Conservat~e  |   .2151025   .1225348     1.76   0.079    -.0250614    
> .4552664
             |
  traditions |   .1487855   .0525623     2.83   0.005     .0457653    
> .2518056
             |
conservative#|
c.traditions |
Conservat~e  |  -.1044785   .1103187    -0.95   0.344    -.3206993    
> .1117423
             |
  expressive |   .5887868   .0595154     9.89   0.000     .4721388    
> .7054348
             |
conservative#|
c.expressive |
Conservat~e  |  -.3094413   .1227332    -2.52   0.012    -.5499939   -
> .0688886
             |
         age |   .2705678   .0293681     9.21   0.000     .2130074    
> .3281283
   education |  -.5935791    .029309   -20.25   0.000    -.6510238   -
> .5361345
      income |  -.0731513   .0062175   -11.77   0.000    -.0853373   -
> .0609652
      female |  -.1733691   .0432448    -4.01   0.000    -.2581274   -
> .0886108
   attention |  -.1090302   .0095318   -11.44   0.000    -.1277122   -
> .0903483
             |
       white |
      White  |   .3073082   .0815056     3.77   0.000     .1475601    
> .4670563
             |
       relig |
  Religious  |   .1682905   .0434482     3.87   0.000     .0831336    
> .2534473
       _cons |  -.6041426   .1940842    -3.11   0.002    -.9845407   -
> .2237446
----------------------------------------------------------------------
> --------

.         eststo referendum3

.         
.                 margins conservative, dydx(values expressive) predic
> t(pr)

Average marginal effects                                Number of obs 
> = 12,183
Model VCE: OIM

Expression: Pr(referendum), predict(pr)
dy/dx wrt:  values expressive

----------------------------------------------------------------------
> --------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
values       |
conservative |
Non-Conse~e  |   .0298897   .0118039     2.53   0.011     .0067546    
> .0530249
Conservat~e  |   .0695167    .020626     3.37   0.001     .0290904    
>  .109943
-------------+--------------------------------------------------------
> --------
expressive   |
conservative |
Non-Conse~e  |   .1186651   .0117535    10.10   0.000     .0956287    
> .1417015
Conservat~e  |   .0534363   .0204228     2.62   0.009     .0134084    
> .0934643
----------------------------------------------------------------------
> --------

.                 
.                 margins conservative, at(values=(1(.5)4)) predict(pr
> )

Predictive margins                                      Number of obs 
> = 12,183
Model VCE: OIM

Expression: Pr(referendum), predict(pr)
1._at: values =   1
2._at: values = 1.5
3._at: values =   2
4._at: values = 2.5
5._at: values =   3
6._at: values = 3.5
7._at: values =   4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at#|
conservative |
          1 #|
Non-Conse~e  |   .3611028   .0227883    15.85   0.000     .3164385    
> .4057671
          1 #|
Conservat~e  |   .5162313   .0467499    11.04   0.000     .4246033    
> .6078593
          2 #|
Non-Conse~e  |   .3756195   .0174518    21.52   0.000     .3414146    
> .4098244
          2 #|
Conservat~e  |   .5549737   .0349878    15.86   0.000     .4863988    
> .6235485
          3 #|
Non-Conse~e  |   .3903302   .0121014    32.25   0.000     .3666119    
> .4140486
          3 #|
Conservat~e  |   .5931402   .0234926    25.25   0.000     .5470956    
> .6391847
          4 #|
Non-Conse~e  |   .4052134   .0071642    56.56   0.000     .3911718    
> .4192549
          4 #|
Conservat~e  |   .6303473   .0132721    47.49   0.000     .6043345    
> .6563601
          5 #|
Non-Conse~e  |   .4202464   .0049575    84.77   0.000     .4105298    
>  .429963
          5 #|
Conservat~e  |   .6662432   .0084104    79.22   0.000     .6497591    
> .6827273
          6 #|
Non-Conse~e  |   .4354062   .0083904    51.89   0.000     .4189613    
> .4518511
          6 #|
Conservat~e  |   .7005176   .0135447    51.72   0.000     .6739705    
> .7270648
          7 #|
Non-Conse~e  |   .4506688   .0138455    32.55   0.000     .4235322    
> .4778054
          7 #|
Conservat~e  |    .732911   .0211313    34.68   0.000     .6914945    
> .7743276
----------------------------------------------------------------------
> --------

.                 marginsplot, xtitle("Values Frames") ///
>                 ylab(0(.20)1) ytitle("Pr(Voting for Brexit)") yline(
> .50, lpattern(dot)) ///
>                 title("Marginal Effects of Values Frames on Referend
> um Vote") ///
>                 subtitle("(by Group ID w/95 CIs)")

Variables that uniquely identify margins: values conservative

.                 graph save referendum1.gph, replace             
(file referendum1.gph not found)
file referendum1.gph saved

. 
.                 
.                 
.                 
. *Figure 10: "Marginal Effect of Expressive Frames on Voting in Elect
> ions"
.         logit right i.conservative##c.values i.conservative##c.tradi
> tions ///
>         i.conservative##c.expressive age education income female att
> ention ///
>         i.white i.relig

Iteration 0:   log likelihood = -8050.5054  
Iteration 1:   log likelihood = -5564.2222  
Iteration 2:   log likelihood = -5554.4813  
Iteration 3:   log likelihood = -5554.4585  
Iteration 4:   log likelihood = -5554.4585  

Logistic regression                                    Number of obs =
>   11,759
                                                       LR chi2(14)   =
>  4992.09
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -5554.4585                            Pseudo R2     =
>   0.3100

----------------------------------------------------------------------
> --------
       right | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
conservative |
Conservat~e  |   2.639204   .4050266     6.52   0.000     1.845366    
> 3.433041
      values |   .1015463   .0649348     1.56   0.118    -.0257236    
> .2288162
             |
conservative#|
    c.values |
Conservat~e  |    .294063   .1565234     1.88   0.060    -.0127172    
> .6008433
             |
  traditions |   .1333568   .0585739     2.28   0.023      .018554    
> .2481596
             |
conservative#|
c.traditions |
Conservat~e  |   .1371149   .1411492     0.97   0.331    -.1395324    
> .4137622
             |
  expressive |   .4986058   .0657658     7.58   0.000     .3697072    
> .6275044
             |
conservative#|
c.expressive |
Conservat~e  |  -.5699663   .1590445    -3.58   0.000    -.8816878   -
> .2582448
             |
         age |   .5502751   .0345386    15.93   0.000     .4825806    
> .6179695
   education |  -.4444635   .0339113   -13.11   0.000    -.5109285   -
> .3779985
      income |   .0425943    .007225     5.90   0.000     .0284337    
>  .056755
      female |  -.0991645   .0494374    -2.01   0.045      -.19606    
> -.002269
   attention |  -.1416061   .0110056   -12.87   0.000    -.1631767   -
> .1200356
             |
       white |
      White  |   .7868486   .1025391     7.67   0.000     .5858756    
> .9878216
             |
       relig |
  Religious  |   .3944103   .0496249     7.95   0.000     .2971473    
> .4916733
       _cons |  -2.979471   .2292037   -13.00   0.000    -3.428702    
> -2.53024
----------------------------------------------------------------------
> --------

.         eststo right3

.                 
.                 margins conservative, dydx(expressive) predict(pr)

Average marginal effects                                Number of obs 
> = 11,759
Model VCE: OIM

Expression: Pr(right), predict(pr)
dy/dx wrt:  expressive

----------------------------------------------------------------------
> --------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
expressive   |
conservative |
Non-Conse~e  |   .0896599   .0117015     7.66   0.000     .0667254    
> .1125943
Conservat~e  |  -.0089602   .0182687    -0.49   0.624    -.0447663    
> .0268459
----------------------------------------------------------------------
> --------

.                 margins conservative, at(expressive=(1(.5)4)) predic
> t(pr)

Predictive margins                                      Number of obs 
> = 11,759
Model VCE: OIM

Expression: Pr(right), predict(pr)
1._at: expressive =   1
2._at: expressive = 1.5
3._at: expressive =   2
4._at: expressive = 2.5
5._at: expressive =   3
6._at: expressive = 3.5
7._at: expressive =   4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at#|
conservative |
          1 #|
Non-Conse~e  |   .2229005   .0097675    22.82   0.000     .2037565    
> .2420444
          1 #|
Conservat~e  |   .8358979   .0142649    58.60   0.000     .8079392    
> .8638565
          2 #|
Non-Conse~e  |   .2642537   .0060861    43.42   0.000     .2523253    
> .2761821
          2 #|
Conservat~e  |   .8315034   .0083368    99.74   0.000     .8151635    
> .8478433
          3 #|
Non-Conse~e  |   .3097008   .0053796    57.57   0.000      .299157    
> .3202446
          3 #|
Conservat~e  |   .8270238   .0096851    85.39   0.000     .8080414    
> .8460062
          4 #|
Non-Conse~e  |   .3586534    .010378    34.56   0.000     .3383128    
> .3789939
          4 #|
Conservat~e  |   .8224589   .0171859    47.86   0.000     .7887751    
> .8561427
          5 #|
Non-Conse~e  |   .4103056   .0173028    23.71   0.000     .3763927    
> .4442185
          5 #|
Conservat~e  |   .8178085   .0263428    31.04   0.000     .7661775    
> .8694395
          6 #|
Non-Conse~e  |   .4636805   .0246672    18.80   0.000     .4153338    
> .5120273
          6 #|
Conservat~e  |   .8130725   .0361952    22.46   0.000     .7421312    
> .8840138
          7 #|
Non-Conse~e  |   .5176946   .0318121    16.27   0.000      .455344    
> .5800452
          7 #|
Conservat~e  |   .8082509     .04653    17.37   0.000     .7170538    
> .8994479
----------------------------------------------------------------------
> --------

.                 marginsplot, title("Voted Right") xtitle("Expressive
>  Frames") ///
>                 ylab(0(.20)1) ytitle("Pr(Voting for Right Party)") y
> line(.50, lpattern(dot))

Variables that uniquely identify margins: expressive conservative

.                 graph save right2.gph, replace  
(file right2.gph not found)
file right2.gph saved

.                         
.         logit referendum i.conservative##c.values i.conservative##c.
> traditions ///
>         i.conservative##c.expressive age education income female att
> ention ///
>         i.white i.relig

Iteration 0:   log likelihood = -8437.4742  
Iteration 1:   log likelihood = -6981.7738  
Iteration 2:   log likelihood = -6973.7666  
Iteration 3:   log likelihood = -6973.7542  
Iteration 4:   log likelihood = -6973.7542  

Logistic regression                                    Number of obs =
>   12,183
                                                       LR chi2(14)   =
>  2927.44
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -6973.7542                            Pseudo R2     =
>   0.1735

----------------------------------------------------------------------
> --------
  referendum | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
conservative |
Conservat~e  |   1.382386   .3222295     4.29   0.000     .7508281    
> 2.013944
      values |   .1483055   .0586015     2.53   0.011     .0334487    
> .2631623
             |
conservative#|
    c.values |
Conservat~e  |   .2151025   .1225348     1.76   0.079    -.0250614    
> .4552664
             |
  traditions |   .1487855   .0525623     2.83   0.005     .0457653    
> .2518056
             |
conservative#|
c.traditions |
Conservat~e  |  -.1044785   .1103187    -0.95   0.344    -.3206993    
> .1117423
             |
  expressive |   .5887868   .0595154     9.89   0.000     .4721388    
> .7054348
             |
conservative#|
c.expressive |
Conservat~e  |  -.3094413   .1227332    -2.52   0.012    -.5499939   -
> .0688886
             |
         age |   .2705678   .0293681     9.21   0.000     .2130074    
> .3281283
   education |  -.5935791    .029309   -20.25   0.000    -.6510238   -
> .5361345
      income |  -.0731513   .0062175   -11.77   0.000    -.0853373   -
> .0609652
      female |  -.1733691   .0432448    -4.01   0.000    -.2581274   -
> .0886108
   attention |  -.1090302   .0095318   -11.44   0.000    -.1277122   -
> .0903483
             |
       white |
      White  |   .3073082   .0815056     3.77   0.000     .1475601    
> .4670563
             |
       relig |
  Religious  |   .1682905   .0434482     3.87   0.000     .0831336    
> .2534473
       _cons |  -.6041426   .1940842    -3.11   0.002    -.9845407   -
> .2237446
----------------------------------------------------------------------
> --------

.         eststo referendum3              

.         
.                 margins conservative, at(expressive=(1(.5)4)) predic
> t(pr)

Predictive margins                                      Number of obs 
> = 12,183
Model VCE: OIM

Expression: Pr(referendum), predict(pr)
1._at: expressive =   1
2._at: expressive = 1.5
3._at: expressive =   2
4._at: expressive = 2.5
5._at: expressive =   3
6._at: expressive = 3.5
7._at: expressive =   4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
         _at#|
conservative |
          1 #|
Non-Conse~e  |   .3228911   .0105199    30.69   0.000     .3022724    
> .3435097
          1 #|
Conservat~e  |    .618128   .0184114    33.57   0.000     .5820424    
> .6542136
          2 #|
Non-Conse~e  |   .3814061    .006265    60.88   0.000     .3691269    
> .3936853
          2 #|
Conservat~e  |   .6461819   .0099607    64.87   0.000     .6266592    
> .6657046
          3 #|
Non-Conse~e  |    .443112   .0057127    77.57   0.000     .4319154    
> .4543086
          3 #|
Conservat~e  |   .6733752    .010154    66.32   0.000     .6534737    
> .6932768
          4 #|
Non-Conse~e  |   .5063878   .0104923    48.26   0.000     .4858233    
> .5269522
          4 #|
Conservat~e  |   .6995746   .0174624    40.06   0.000      .665349    
> .7338002
          5 #|
Non-Conse~e  |   .5694761   .0162614    35.02   0.000     .5376043    
> .6013479
          5 #|
Conservat~e  |   .7246649    .025527    28.39   0.000     .6746328    
> .7746969
          6 #|
Non-Conse~e  |    .630638   .0215072    29.32   0.000     .5884846    
> .6727913
          6 #|
Conservat~e  |   .7485507   .0329834    22.69   0.000     .6839045    
>  .813197
          7 #|
Non-Conse~e  |   .6883043    .025627    26.86   0.000     .6380763    
> .7385324
          7 #|
Conservat~e  |   .7711575   .0395092    19.52   0.000     .6937209    
> .8485942
----------------------------------------------------------------------
> --------

.                 marginsplot, title("Voted Brexit") xtitle("Expressiv
> e Frames") ///
>                 ylab(0(.20)1) ytitle("Pr(Voting for Brexit)") yline(
> .50, lpattern(dot))

Variables that uniquely identify margins: expressive conservative

.                 graph save referendum2.gph, replace     
(file referendum2.gph not found)
file referendum2.gph saved

.                 
.         grc1leg right2.gph referendum2.gph, ycommon col(2) ///
>         title("Marginal Effects of Expressive Frames on Voting in El
> ections") ///
>         subtitle("(by Group ID w/95 CIs)")

. 
. 
.         
.         
. *Figure 11: "Marginal Effects of Expressive Frames on Voting in Elec
> tions"
.         logit right i.relig##c.values i.relig##c.traditions ///
>         i.relig##c.expressive age education income female attention 
> ///
>         i.conservative i.white

Iteration 0:   log likelihood = -8050.5054  
Iteration 1:   log likelihood = -5565.3651  
Iteration 2:   log likelihood = -5556.1921  
Iteration 3:   log likelihood = -5556.1847  
Iteration 4:   log likelihood = -5556.1847  

Logistic regression                                    Number of obs =
>   11,759
                                                       LR chi2(14)   =
>  4988.64
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -5556.1847                            Pseudo R2     =
>   0.3098

----------------------------------------------------------------------
> --------
       right | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
       relig |
  Religious  |   1.037574   .3049251     3.40   0.001     .4399313    
> 1.635216
      values |   .1309254   .0853458     1.53   0.125    -.0363494    
> .2982002
             |
       relig#|
    c.values |
  Religious  |    .049271   .1177315     0.42   0.676    -.1814785    
> .2800205
             |
  traditions |   .2099637   .0771401     2.72   0.006     .0587719    
> .3611556
             |
       relig#|
c.traditions |
  Religious  |  -.1068964   .1070794    -1.00   0.318    -.3167681    
> .1029753
             |
  expressive |   .5436374   .0860838     6.32   0.000     .3749162    
> .7123586
             |
       relig#|
c.expressive |
  Religious  |  -.2696165   .1168111    -2.31   0.021    -.4985621   -
> .0406708
             |
         age |    .549619    .034533    15.92   0.000     .4819355    
> .6173025
   education |  -.4426757   .0339037   -13.06   0.000    -.5091258   -
> .3762256
      income |   .0419328   .0072222     5.81   0.000     .0277775    
>  .056088
      female |  -.0923788   .0493956    -1.87   0.061    -.1891924    
> .0044347
   attention |  -.1425542   .0109917   -12.97   0.000    -.1640976   -
> .1210109
             |
conservative |
Conservat~e  |   2.882117   .0639005    45.10   0.000     2.756874    
>  3.00736
             |
       white |
      White  |   .7851882    .102535     7.66   0.000     .5842233    
> .9861531
       _cons |  -3.341414   .2756059   -12.12   0.000    -3.881592   -
> 2.801236
----------------------------------------------------------------------
> --------

.         eststo right4

.         
.                 margins relig, dydx(expressive) predict(pr)

Average marginal effects                                Number of obs 
> = 11,759
Model VCE: OIM

Expression: Pr(right), predict(pr)
dy/dx wrt:  expressive

----------------------------------------------------------------------
> --------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
expressive   |
       relig |
Non-Relig~s  |   .0812798   .0127846     6.36   0.000     .0562225    
> .1063371
  Religious  |   .0445668    .013162     3.39   0.001     .0187698    
> .0703639
----------------------------------------------------------------------
> --------

.                 margins relig, at(expressive=(1(.5)4)) predict(pr)

Predictive margins                                      Number of obs 
> = 11,759
Model VCE: OIM

Expression: Pr(right), predict(pr)
1._at: expressive =   1
2._at: expressive = 1.5
3._at: expressive =   2
4._at: expressive = 2.5
5._at: expressive =   3
6._at: expressive = 3.5
7._at: expressive =   4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
   _at#relig |
          1 #|
Non-Relig~s  |   .3403601   .0109617    31.05   0.000     .3188757    
> .3618446
1#Religious  |   .4321562    .012015    35.97   0.000     .4086072    
> .4557052
          2 #|
Non-Relig~s  |   .3793869   .0065916    57.56   0.000     .3664677    
> .3923062
2#Religious  |    .454238   .0069969    64.92   0.000     .4405244    
> .4679516
          3 #|
Non-Relig~s  |   .4208398   .0062365    67.48   0.000     .4086165    
> .4330631
3#Religious  |   .4768158   .0061572    77.44   0.000     .4647479    
> .4888837
          4 #|
Non-Relig~s  |    .464513   .0116563    39.85   0.000     .4416671    
> .4873589
4#Religious  |   .4998223   .0110727    45.14   0.000     .4781201    
> .5215244
          5 #|
Non-Relig~s  |   .5099959   .0188799    27.01   0.000     .4729919    
> .5469999
5#Religious  |   .5231769   .0176343    29.67   0.000     .4886144    
> .5577395
          6 #|
Non-Relig~s  |   .5566718   .0265252    20.99   0.000     .5046834    
> .6086602
6#Religious  |   .5467869   .0246198    22.21   0.000     .4985329    
> .5950409
          7 #|
Non-Relig~s  |   .6037509     .03394    17.79   0.000     .5372296    
> .6702721
7#Religious  |   .5705487    .031708    17.99   0.000     .5084022    
> .6326952
----------------------------------------------------------------------
> --------

.                 marginsplot, title("Voted Right") xtitle("Expressive
>  Frames") ///
>                 ylab(0(.20)1) ytitle("Pr(Voting for Right Party)") y
> line(.50, lpattern(dot))

Variables that uniquely identify margins: expressive relig

.                 graph save right3.gph, replace          
(file right3.gph not found)
file right3.gph saved

.         
.         logit referendum i.relig##c.values i.relig##c.traditions ///
>         i.relig##c.expressive age education income female attention 
> ///
>         i.conservative i.white

Iteration 0:   log likelihood = -8437.4742  
Iteration 1:   log likelihood = -6981.6837  
Iteration 2:   log likelihood = -6973.0209  
Iteration 3:   log likelihood = -6973.0042  
Iteration 4:   log likelihood = -6973.0042  

Logistic regression                                    Number of obs =
>   12,183
                                                       LR chi2(14)   =
>  2928.94
                                                       Prob > chi2   =
>   0.0000
Log likelihood = -6973.0042                            Pseudo R2     =
>   0.1736

----------------------------------------------------------------------
> --------
  referendum | Coefficient  Std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
       relig |
  Religious  |   .5377684   .2639027     2.04   0.042     .0205286    
> 1.055008
      values |   .1508521   .0724865     2.08   0.037     .0087811    
> .2929231
             |
       relig#|
    c.values |
  Religious  |   .1009595   .1022761     0.99   0.324    -.0994979    
> .3014169
             |
  traditions |   .1513053    .065599     2.31   0.021     .0227337    
> .2798769
             |
       relig#|
c.traditions |
  Religious  |  -.0544842   .0927795    -0.59   0.557    -.2363287    
> .1273604
             |
  expressive |   .6602829   .0742645     8.89   0.000     .5147271    
> .8058387
             |
       relig#|
c.expressive |
  Religious  |  -.2875134   .1030283    -2.79   0.005    -.4894451   -
> .0855817
             |
         age |   .2720044    .029363     9.26   0.000      .214454    
> .3295548
   education |  -.5922252   .0293095   -20.21   0.000    -.6496709   -
> .5347796
      income |  -.0734383   .0062189   -11.81   0.000    -.0856271   -
> .0612495
      female |   -.173103    .043246    -4.00   0.000    -.2578635   -
> .0883424
   attention |  -.1100136   .0095069   -11.57   0.000    -.1286468   -
> .0913804
             |
conservative |
Conservat~e  |   1.174209   .0496537    23.65   0.000     1.076889    
> 1.271528
             |
       white |
      White  |    .301115   .0813709     3.70   0.000      .141631    
>  .460599
       _cons |  -.7276476   .2274547    -3.20   0.001    -1.173451   -
> .2818445
----------------------------------------------------------------------
> --------

.         eststo referendum4

.         
.                 margins relig, dydx(expressive) predict(pr)

Average marginal effects                                Number of obs 
> = 12,183
Model VCE: OIM

Expression: Pr(referendum), predict(pr)
dy/dx wrt:  expressive

----------------------------------------------------------------------
> --------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
expressive   |
       relig |
Non-Relig~s  |   .1276992   .0139868     9.13   0.000     .1002856    
> .1551127
  Religious  |   .0739297   .0142297     5.20   0.000       .04604    
> .1018194
----------------------------------------------------------------------
> --------

.                 margins relig, at(expressive=(1(.5)4)) predict(pr)

Predictive margins                                      Number of obs 
> = 12,183
Model VCE: OIM

Expression: Pr(referendum), predict(pr)
1._at: expressive =   1
2._at: expressive = 1.5
3._at: expressive =   2
4._at: expressive = 2.5
5._at: expressive =   3
6._at: expressive = 3.5
7._at: expressive =   4

----------------------------------------------------------------------
> --------
             |            Delta-method
             |     Margin   std. err.      z    P>|z|     [95% conf. i
> nterval]
-------------+--------------------------------------------------------
> --------
   _at#relig |
          1 #|
Non-Relig~s  |   .3639343   .0127244    28.60   0.000     .3389949    
> .3888737
1#Religious  |   .4421344    .013439    32.90   0.000     .4157944    
> .4684744
          2 #|
Non-Relig~s  |   .4287784   .0074564    57.51   0.000     .4141642    
> .4433926
2#Religious  |   .4798951   .0076653    62.61   0.000     .4648714    
> .4949188
          3 #|
Non-Relig~s  |   .4958478   .0071833    69.03   0.000     .4817688    
> .5099268
3#Religious  |   .5178769   .0067802    76.38   0.000      .504588    
> .5311658
          4 #|
Non-Relig~s  |   .5631328   .0127801    44.06   0.000     .5380843    
> .5881813
4#Religious  |   .5557126   .0119872    46.36   0.000      .532218    
> .5792072
          5 #|
Non-Relig~s  |   .6285937    .019043    33.01   0.000     .5912701    
> .6659173
5#Religious  |   .5930383   .0184556    32.13   0.000     .5568659    
> .6292107
          6 #|
Non-Relig~s  |   .6903453   .0242917    28.42   0.000     .6427345    
> .7379562
6#Religious  |   .6295039   .0247832    25.40   0.000     .5809298    
> .6780781
          7 #|
Non-Relig~s  |    .746824   .0279075    26.76   0.000     .6921262    
> .8015217
7#Religious  |   .6647828   .0305598    21.75   0.000     .6048867    
> .7246789
----------------------------------------------------------------------
> --------

.                 marginsplot, title("Voted Brexit") xtitle("Expressiv
> e Frames") ///
>                 ylab(0(.20)1) ytitle("Pr(Voting for Brexit)") yline(
> .50, lpattern(dot))

Variables that uniquely identify margins: expressive relig

.                 graph save referendum4.gph, replace     
(file referendum4.gph not found)
file referendum4.gph saved

.                 
.                 grc1leg right3.gph referendum4.gph, ycommon col(2) /
> //
>                 title("Marginal Effects of Expressive Frames on Voti
> ng in Elections") ///
>                 subtitle("(by Group ID w/95 CIs)")              

.         
. 
. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/JTAFOYA1/My Drive/Research/Englishness_Americannes
> s/P_UK13029248_BBC.log
  log type:  text
 closed on:   2 Jun 2023, 19:28:11
----------------------------------------------------------------------
